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The current state and future outlook of rescue robotics
Open accessAbstract
Robotic technologies, whether they are remotely operated vehicles, autonomous agents, assistive devices, or novel control interfaces, offer many promising capabilities for deployment in real‐world environments. Postdisaster scenarios are a particularly relevant target for applying such technologies, due to the challenging conditions faced by rescue workers and the possibility to increase their efficacy while decreasing the risks they face. However, field‐deployable technologies for rescue work have requirements for robustness, speed, versatility, and ease of use that may not be matched by the state of the art in robotics research. This paper aims to survey the current state of the art in ground and aerial robots, marine and amphibious systems, and human–robot control interfaces and assess the readiness of these technologies with respect to the needs of first responders and disaster recovery efforts. We have gathered expert opinions from emergency response stakeholders and researchers who conduct field deployments with them to understand these needs, and we present this assessment as a way to guide future research toward technologies that will make an impact in real‐world disaster response and recovery.
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Cites
Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age
Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I., & Leonard, J. J. (2016) · IEEE Transactions on Robotics · doi:10.1109/tro.2016.2624754 · Cited by 3,596
Self-citationSendai Framework for Disaster Risk Reduction 2015-2030
(2018) · Human Rights Documents Online · doi:10.1163/2210-7975_hrd-9813-2015016 · Cited by 3,392
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
Cadena, C., Carlone, L., Carrillo, H., Latif, Y., Scaramuzza, D., Neira, J., Reid, I. D., & Leonard, J. J. (2016) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-138892 · Cited by 3,048
Self-citationBigDog, the Rough-Terrain Quadruped Robot
Raibert, M., Blankespoor, K., Nelson, G., & Playter, R. (2008) · IFAC Proceedings Volumes · doi:10.3182/20080706-5-kr-1001.01833 · Cited by 1,495
Help from the Sky: Leveraging UAVs for Disaster Management
Erdelj, M., Natalizio, E., Chowdhury, K. R., & Akyildiz, I. F. (2017) · IEEE Pervasive Computing · doi:10.1109/mprv.2017.11 · Cited by 996
Robots that can adapt like animals
Cully, A., Clune, J., Tarapore, D., & Mouret, J.-B. (2015) · Nature · doi:10.1038/nature14422 · Cited by 979
Casper, J., & Murphy, R. R. (2003) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2003.811794 · Cited by 938
Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot
Kuindersma, S., Deits, R., Fallon, M., Valenzuela, A., Dai, H., Permenter, F., Koolen, T., Marion, P., & Tedrake, R. (2016) · Autonomous Robots · doi:10.1007/s10514-015-9479-3 · Cited by 835
Human–Robot Interaction: Status and Challenges
Sheridan, T. B. (2016) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720816644364 · Cited by 786
A Review of Point Cloud Registration Algorithms for Mobile Robotics
Pomerleau, F., Colas, F., & Siegwart, R. (2015) · Foundations and Trends® in Robotics · doi:10.1561/2300000035 · Cited by 717
Self-citationHuman–Robot Interaction in Rescue Robotics
Murphy, R. R. (2004) · IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) · doi:10.1109/tsmcc.2004.826267 · Cited by 677
Nagatani, K., Kiribayashi, S., Okada, Y., Otake, K., Yoshida, K., Tadokoro, S., Nishimura, T., Yoshida, T., Koyanagi, E., Fukushima, M., et al. (2013) · Journal of Field Robotics · doi:10.1002/rob.21439 · Cited by 602
Control of a Quadrotor With Reinforcement Learning
Hwangbo, J., Sa, I., Siegwart, R., & Hutter, M. (2017) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2017.2720851 · Cited by 543
Self-citationAerial Manipulation: A Literature Review
Ruggiero, F., Lippiello, V., & Ollero, A. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2808541 · Cited by 539
Faessler, M., Franchi, A., & Scaramuzza, D. (2017) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2017.2776353 · Cited by 469
Self-citationDesign principles for highly efficient quadrupeds and implementation on the MIT Cheetah robot
Seok, S., Wang, A., Chuah, M. Y., Otten, D., Lang, J., & Kim, S. (2013) · 2013 IEEE International Conference on Robotics and Automation · doi:10.1109/icra.2013.6631038 · Cited by 439
Collaborative mapping of an earthquake‐damaged building via ground and aerial robots
Michael, N., Shen, S., Mohta, K., Mulgaonkar, Y., Kumar, V., Nagatani, K., Okada, Y., Kiribayashi, S., Otake, K., Yoshida, K., et al. (2012) · Journal of Field Robotics · doi:10.1002/rob.21436 · Cited by 380
ANYmal - toward legged robots for harsh environments
Hutter, M., Gehring, C., Lauber, A., Gunther, F., Bellicoso, C. D., Tsounis, V., Fankhauser, P., Diethelm, R., Bachmann, S., Bloesch, M., et al. (2017) · Advanced Robotics · doi:10.1080/01691864.2017.1378591 · Cited by 341
Self-citationMurphy, R. R. (2014) · The MIT Press eBooks · doi:10.7551/mitpress/9407.001.0001 · Cited by 335
Activities of the rescue robots at the World Trade Center from 11-21 september 2001
Murphy, R. R. (2004) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2004.1337826 · Cited by 325
The Foldable Drone: A Morphing Quadrotor That Can Squeeze and Fly
Falanga, D., Kleber, K., Mintchev, S., Floreano, D., & Scaramuzza, D. (2019) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2885575 · Cited by 318
Self-citationLoianno, G., Brunner, C., McGrath, G., & Kumar, V. (2017) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2016.2633290 · Cited by 305
Scaramuzza, D., Achtelik, M. C., Doitsidis, L., Friedrich, F., Kosmatopoulos, E., Martinelli, A., Achtelik, M. W., Chli, M., Chatzichristofis, S., Kneip, L., et al. (2014) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2014.2322295 · Cited by 299
Self-citationRobotic Urban Search and Rescue: A Survey from the Control Perspective
Liu, Y., & Nejat, G. (2013) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-013-9822-x · Cited by 273
WALK‐MAN: A High‐Performance Humanoid Platform for Realistic Environments
Tsagarakis, N. G., Caldwell, D. G., Negrello, F., Choi, W., Baccelliere, L., Loc, V. G., Noorden, J., Muratore, L., Margan, A., Cardellino, A., et al. (2017) · Journal of Field Robotics · doi:10.1002/rob.21702 · Cited by 272
Receding horizon path planning for 3D exploration and surface inspection
Bircher, A., Kamel, M., Alexis, K., Oleynikova, H., & Siegwart, R. (2018) · Autonomous Robots · doi:10.1007/s10514-016-9610-0 · Cited by 252
Self-citationOcean One: A Robotic Avatar for Oceanic Discovery
Khatib, O., Yeh, X., Brantner, G., Soe, B., Kim, B., Ganguly, S., Stuart, H., Wang, S., Cutkosky, M., Edsinger, A., et al. (2016) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2016.2613281 · Cited by 251
Team IHMC's Lessons Learned from the DARPA Robotics Challenge Trials
Johnson, M., Shrewsbury, B., Bertrand, S., Wu, T., Duran, D., Floyd, M., Abeles, P., Stephen, D., Mertins, N., Lesman, A., et al. (2015) · Journal of Field Robotics · doi:10.1002/rob.21571 · Cited by 250
Autonomous, Vision‐based Flight and Live Dense 3D Mapping with a Quadrotor Micro Aerial Vehicle
Faessler, M., Fontana, F., Forster, C., Mueggler, E., Pizzoli, M., & Scaramuzza, D. (2016) · Journal of Field Robotics · doi:10.1002/rob.21581 · Cited by 247
Self-citationSTARLETH: A COMPLIANT QUADRUPEDAL ROBOT FOR FAST, EFFICIENT, AND VERSATILE LOCOMOTION
HUTTER, M., GEHRING, C., BLOESCH, M., HOEPFLINGER, M. A., REMY, C. D., & SIEGWART, R. (2012) · Adaptive Mobile Robotics · doi:10.1142/9789814415958_0062 · Cited by 241
Self-citationOptimization‐based Full Body Control for the DARPA Robotics Challenge
Feng, S., Whitman, E., Xinjilefu, X., & Atkeson, C. G. (2015) · Journal of Field Robotics · doi:10.1002/rob.21559 · Cited by 229
UAV-based forest fire detection and tracking using image processing techniques
Yuan, C., Liu, Z., & Zhang, Y. (2015) · 2015 International Conference on Unmanned Aircraft Systems (ICUAS) · doi:10.1109/icuas.2015.7152345 · Cited by 220
Advances in real‐world applications for legged robots
Bellicoso, C. D., Bjelonic, M., Wellhausen, L., Holtmann, K., Günther, F., Tranzatto, M., Fankhauser, P., & Hutter, M. (2018) · Journal of Field Robotics · doi:10.1002/rob.21839 · Cited by 215
Self-citationReconsidering the Phases of Disaster
Neal, D. M. (1997) · International Journal of Mass Emergencies & Disasters · doi:10.1177/028072709701500202 · Cited by 211
Dynamic Locomotion Through Online Nonlinear Motion Optimization for Quadrupedal Robots
Bellicoso, C. D., Jenelten, F., Gehring, C., & Hutter, M. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2794620 · Cited by 206
Self-citationRobust Rough-Terrain Locomotion with a Quadrupedal Robot
Fankhauser, P., Bjelonic, M., Dario Bellicoso, C., Miki, T., & Hutter, M. (2018) · 2018 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2018.8460731 · Cited by 205
Self-citationFast, autonomous flight in GPS‐denied and cluttered environments
Mohta, K., Watterson, M., Mulgaonkar, Y., Liu, S., Qu, C., Makineni, A., Saulnier, K., Sun, K., Zhu, A., Delmerico, J., et al. (2018) · Journal of Field Robotics · doi:10.1002/rob.21774 · Cited by 200
Self-citationMurphy, R. R. (2014) · Cited by 195
A Collision‐resilient Flying Robot
Briod, A., Kornatowski, P., Zufferey, J., & Floreano, D. (2014) · Journal of Field Robotics · doi:10.1002/rob.21495 · Cited by 193
Self-citationLaunching the AquaMAV: bioinspired design for aerial–aquatic robotic platforms
Siddall, R., & Kovač, M. (2014) · Bioinspiration & Biomimetics · doi:10.1088/1748-3182/9/3/031001 · Cited by 189
Bioinspired dual-stiffness origami
Mintchev, S., Shintake, J., & Floreano, D. (2018) · Science Robotics · doi:10.1126/scirobotics.aau0275 · Cited by 189
Self-citationSegMap: 3D Segment Mapping using Data-Driven Descriptors
Dubé, R., Cramariuc, A., Dugas, D., Nieto, J., Siegwart, R., & Cadena, C. (2018) · Robotics: Science and Systems XIV · doi:10.15607/rss.2018.xiv.003 · Cited by 186
Self-citationMulti-modal locomotion: from animal to application
Lock, R. J., Burgess, S. C., & Vaidyanathan, R. (2013) · Bioinspiration & Biomimetics · doi:10.1088/1748-3182/9/1/011001 · Cited by 185
Falanga, D., Mueggler, E., Faessler, M., & Scaramuzza, D. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2017.7989679 · Cited by 185
Self-citationTowards versatile legged robots through active impedance control
Semini, C., Barasuol, V., Boaventura, T., Frigerio, M., Focchi, M., Caldwell, D. G., & Buchli, J. (2015) · The International Journal of Robotics Research · doi:10.1177/0278364915578839 · Cited by 177
A Multimodal Robot for Perching and Climbing on Vertical Outdoor Surfaces
Pope, M. T., Kimes, C. W., Jiang, H., Hawkes, E. W., Estrada, M. A., Kerst, C. F., Roderick, W. R. T., Han, A. K., Christensen, D. L., & Cutkosky, M. R. (2017) · IEEE Transactions on Robotics · doi:10.1109/tro.2016.2623346 · Cited by 164
Reconsidering the Phases of Disasters
Brand, N. E. (1997) · International Journal of Mass Emergencies & Disasters · Cited by 153
NimbRo Rescue: Solving Disaster‐response Tasks with the Mobile Manipulation Robot Momaro
Schwarz, M., Rodehutskors, T., Droeschel, D., Beul, M., Schreiber, M., Araslanov, N., Ivanov, I., Lenz, C., Razlaw, J., Schüller, S., et al. (2016) · Journal of Field Robotics · doi:10.1002/rob.21677 · Cited by 152
Active Autonomous Aerial Exploration for Ground Robot Path Planning
Delmerico, J., Mueggler, E., Nitsch, J., & Scaramuzza, D. (2017) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2017.2651163 · Cited by 150
Self-citationArai, M., Tanaka, Y., Hirose, S., Kuwahara, H., & Tsukui, S. (2007) · Journal of Field Robotics · doi:10.1002/rob.20229 · Cited by 145
Marconi, L., Melchiorri, C., Beetz, M., Pangercic, D., Siegwart, R., Leutenegger, S., Carloni, R., Stramigioli, S., Bruyninckx, H., Doherty, P., et al. (2012) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2012.6523905 · Cited by 138
Self-citationMurphy, R. R., Tadokoro, S., & Kleiner, A. (2016) · Springer Handbooks · doi:10.1007/978-3-319-32552-1_60 · Cited by 135
The role of shared-control in BCI-based telepresence
Tonin, L., Leeb, R., Tavella, M., Perdikis, S., & Millán, J. D. R. (2010) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2010.5642338 · Cited by 125
Improved interfaces for human-robot interaction in urban search and rescue
Baker, M., Casey, R. T., Keyes, B., & Yanco, H. A. (2005) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2004.1400783 · Cited by 121
The DARPA Robotics Challenge [Competitions]
Pratt, G. A., & Manzo, J. E. (2013) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2013.2255424 · Cited by 105
No falls, no resets: Reliable humanoid behavior in the DARPA robotics challenge
Atkeson, C. G., Franklin, P., Gennert, M. A., Graff, J. P., Peng, H., Jaeger, A. M., Kim, J., Knoedler, K., Li, L., Liu, C., et al. (2015) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/humanoids.2015.7363436 · Cited by 105
Integrated Data Management for a Fleet of Search‐and‐rescue Robots
Balta, H., Będkowski, J., Govindaraj, S., Majek, K., Musialik, P., Serrano, D., Alexis, K., Siegwart, R., & Cubber, G. D. (2016) · Journal of Field Robotics · doi:10.1002/rob.21651 · Cited by 105
Self-citationExperience in System Design for Human-Robot Teaming in Urban Search and Rescue
Kruijff, G.-J., Janíček, M., Keshavdas, S., Larochelle, B., Zender, H., Smets, N. J. J. M., Mioch, T., Neerincx, M. A., van Diggelen, J., Colas, F., et al. (2013) · Springer tracts in advanced robotics · doi:10.1007/978-3-642-40686-7_8 · Cited by 102
Self-citationA bioinspired multi-modal flying and walking robot
Daler, L., Mintchev, S., Stefanini, C., & Floreano, D. (2015) · Bioinspiration & Biomimetics · doi:10.1088/1748-3190/10/1/016005 · Cited by 97
Self-citationData-driven body–machine interface for the accurate control of drones
Miehlbradt, J., Cherpillod, A., Mintchev, S., Coscia, M., Artoni, F., Floreano, D., & Micera, S. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1718648115 · Cited by 96
Self-citationLearning to interpret pointing gestures with a time-of-flight camera
Droeschel, D., Stückler, J., & Behnke, S. (2011) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/1957656.1957822 · Cited by 95
GapFlyt: Active Vision Based Minimalist Structure-Less Gap Detection For Quadrotor Flight
Sanket, N. J., Singh, C. D., Ganguly, K., Fermuller, C. M., & Aloimonos, Y. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2843445 · Cited by 95
FlyJacket: An Upper Body Soft Exoskeleton for Immersive Drone Control
Rognon, C., Mintchev, S., Dell’Agnola, F., Cherpillod, A., Atienza, D., & Floreano, D. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2810955 · Cited by 94
Self-citationTeam RoboSimian: Semi‐autonomous Mobile Manipulation at the 2015 DARPA Robotics Challenge Finals
Karumanchi, S. B., Edelberg, K., Baldwin, I., Nash, J., Reid, J. I., Bergh, C. F., Leichty, J., Carpenter, K., Shekels, M., Gildner, M., et al. (2016) · Journal of Field Robotics · doi:10.1002/rob.21676 · Cited by 93
Humanoid robot HRP-2Kai — Improvement of HRP-2 towards disaster response tasks
Kaneko, K., Morisawa, M., Kajita, S., Nakaoka, S., Sakaguchi, T., Cisneros, R., & Kanehiro, F. (2015) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/humanoids.2015.7363526 · Cited by 92
Human-swarm interaction using spatial gestures
Nagi, J., Giusti, A., Gambardella, L. M., & Di Caro, G. A. (2014) · 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2014.6943101 · Cited by 90
Self-citationInsect-Inspired Mechanical Resilience for Multicopters
Mintchev, S., de Rivaz, S., & Floreano, D. (2017) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2017.2658946 · Cited by 89
Self-citationAn origami-inspired cargo drone
Kornatowski, P., Mintchev, S., & Floreano, D. (2017) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2017.8206607 · Cited by 85
Self-citationWorking with robots and objects
Brooks, A. G., & Breazeal, C. (2006) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/1121241.1121292 · Cited by 84
Kohlbrecher, S., Romay, A., Stumpf, A., Gupta, A., von Stryk, O., Bacim, F., Bowman, D. A., Goins, A. K., Balasubramanian, R., & Conner, D. C. (2014) · Journal of Field Robotics · doi:10.1002/rob.21558 · Cited by 81
Toward Cyber-Enhanced Working Dogs for Search and Rescue
Bozkurt, A. Y., Roberts, D. L., Sherman, B. L., Brugarolas, R., Mealin, S. P., Majikes, J. J., Yang, P., & Loftin, R. (2014) · IEEE Intelligent Systems · doi:10.1109/mis.2014.77 · Cited by 78
Current research, key performances and future development of search and rescue robots
Liu, J., Wang, Y., Li, B., & Ma, S. (2007) · Frontiers of Mechanical Engineering in China · doi:10.1007/s11465-007-0070-2 · Cited by 78
The flying monkey: A mesoscale robot that can run, fly, and grasp
Mulgaonkar, Y., Araki, B., Koh, J., Guerrero-Bonilla, L., Aukes, D. M., Makineni, A., Tolley, M. T., Rus, D. L., Wood, R. J., & Kumar, V. R. (2016) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2016.7487667 · Cited by 77
Active scope camera for urban search and rescue
Hatazaki, K., Konyo, M., Isaki, K., Tadokoro, S., & Takemura, F. (2007) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2007.4399386 · Cited by 75
Forceful manipulation with micro air vehicles
Estrada, M. A., Mintchev, S., Christensen, D. L., Cutkosky, M. R., & Floreano, D. (2018) · Science Robotics · doi:10.1126/scirobotics.aau6903 · Cited by 72
Self-citationA drone with insect-inspired folding wings
Dufour, L., Owen, K., Mintchev, S., & Floreano, D. (2016) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2016.7759255 · Cited by 71
Self-citationCacace, J., Finzi, A., Lippiello, V., Furci, M., Mimmo, N., & Marconi, L. (2016) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2016.7784304 · Cited by 71
Jevtić, A., Doisy, G., Parmet, Y., & Edan, Y. (2015) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2015.2461683 · Cited by 58
Deployment of ground and aerial robots in earthquake-struck Amatrice in Italy (brief report)
Kruijff‐Korbayová, I., Freda, L., Gianni, M., Ntouskos, V., Hlaváč, V., Kubelka, V., Zimmermann, E., Hartmut Surmann, A., Dulic, K., Rottner, W., et al. (2016) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2016.7784314 · Cited by 54
Gawel, A., Dubé, R., Hartmut Surmann, A., Nieto, J. I., Siegwart, R., & Cadena, C. (2017) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2017.8088136 · Cited by 53
Self-citationFoundations of Visual Linear Human–Robot Interaction via Pointing Gesture Navigation
Tölgyessy, M., Dekan, M., Duchoň, F., Rodina, J., Hubinský, P., & Chovanec, Ľ. (2017) · International Journal of Social Robotics · doi:10.1007/s12369-017-0408-9 · Cited by 52
Visual estimation of pointed targets for robot guidance via fusion of face pose and hand orientation
Pateraki, M., Baltzakis, H., & Trahanias, P. E. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.12.006 · Cited by 47
Sheh, R., Schwertfeger, S., & Visser, A. (2016) · Künstliche Intell. · doi:10.1007/s13218-016-0444-x · Cited by 47
Robust SLAM system based on monocular vision and LiDAR for robotic urban search and rescue
Chen, X., Zhang, H., Lu, H., Xiao, J., Qiu, Q., & Li, Y. (2017) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2017.8088138 · Cited by 47
Model-predictive control with stochastic collision avoidance using Bayesian policy optimization
Andersson, O., Wzorek, M., Rudol, P., & Doherty, P. (2016) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2016.7487661 · Cited by 45
Doherty, P., Heintz, F., & Kvarnström, J. (2013) · Unmanned Systems · doi:10.1142/s2301385013500052 · Cited by 44
Horvat, T., Karakasiliotis, K., Melo, K., Fleury, L., Thandiackal, R., & Ijspeert, A. J. (2015) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2015.7353374 · Cited by 39
Self-citationSearch and Rescue Robotics - From Theory to Practice
Cubber, G. D., Doroftei, D., Rudin, K., Berns, K., Matos, A., Serrano, D., Sanchez, J. M., Govindaraj, S., Będkowski, J., Roda, R., et al. (2017) · InTech eBooks · doi:10.5772/intechopen.68449 · Cited by 38
Wearable multi-modal interface for human multi-robot interaction
Gromov, B., Gambardella, L. M., & Di, G. A. (2016) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2016.7784305 · Cited by 37
Self-citationSpine Controller for a Sprawling Posture Robot
Horvat, T., Melo, K., & Ijspeert, A. J. (2017) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2017.2664898 · Cited by 33
Self-citationA Natural Infrastructure-Less Human–Robot Interaction System
Villani, V., Sabattini, L., Riggio, G., Secchi, C., Minelli, M., & Fantuzzi, C. (2017) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2017.2678541 · Cited by 31
Model predictive control based framework for CoM control of a quadruped robot
Horvat, T., Melo, K., & Ijspeert, A. J. (2017) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2017.8206176 · Cited by 30
Self-citationRobust robot localization in a complex oil and gas industrial environment
Merriaux, P., Dupuis, Y., Boutteau, R., Vasseur, P., & Savatier, X. (2017) · Journal of Field Robotics · doi:10.1002/rob.21735 · Cited by 27
Human pointing as a robot directive
Abidi, S., Williams, M., & Johnston, B. (2013) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2013.6483504 · Cited by 22
A robust integrated system for selecting and commanding multiple mobile robots
Pourmehr, S., Monajjemi, V. M., Wawerla, J., Vaughan, R., & Mori, G. (2013) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2013.6630975 · Cited by 21
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Akkil, D., & Isokoski, P. (2016) · ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) · doi:10.1145/2971648.2971687 · Cited by 21
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Gawel, A., Lin, Y., Koutros, T., et al. (2018) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2018.8468657 · Cited by 21
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Abidi, S. S. R., Williams, M., & Johnston, B. (2013) · doi:10.5555/2447556.2447570 · Cited by 20
Collaborative 3D Reconstruction Using Heterogeneous UAVs: System and Experiments
Hinzmann, T., Stastny, T., Conte, G., Doherty, P., Rudol, P., Wzorek, M., Galceran, E., Siegwart, R., & Gilitschenski, I. (2017) · Springer proceedings in advanced robotics · doi:10.1007/978-3-319-50115-4_5 · Cited by 20
Self-citationSchneider, F. E., & Wildermuth, D. (2017) · International Carpathian Control Conference · doi:10.1109/carpathiancc.2017.7970400 · Cited by 20
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Saputra, R. P., & Kormushev, P. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-96728-8_18 · Cited by 20
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Harbers, M., de Greeff, J., Kruijff‐Korbayová, I., Neerincx, M. A., & Hindriks, K. V. (2017) · International series on intelligent systems, control and automation: science and engineering · doi:10.1007/978-3-319-46667-5_7 · Cited by 19
Persistent Robot-Assisted Disaster Response
de Greeff, J., Mioch, T., van Vught, W., Hindriks, K. V., Neerincx, M. A., & Kruijff‐Korbayová, I. (2018) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3173386.3177049 · Cited by 19
A Collaborative Framework for 3D Mapping Using Unmanned Aerial Vehicles
Doherty, P., Kvarnström, J., Rudol, P., et al. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-44832-9_7 · Cited by 18
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Guowei, Z., Bin, L., Li, Z., et al. (2014) · IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) · doi:10.1109/ssrr.2014.7017679 · Cited by 17
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Dell’Agnola, F., Cammoun, L., & Atienza, D. (2018) · International Conference on Consumer Electronics · doi:10.1109/icce.2018.8326348 · Cited by 17
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Hager, G., Bhat, G., Danelljan, M., et al. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-50835-1_50 · Cited by 12
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Yazdani, F., Scheutz, M. J., & Beetz, M. (2017) · Adaptive Agents and Multi-Agents Systems · doi:10.5555/3091125.3091434 · Cited by 2
Metadata
- Authors
- Delmerico, J., Mintchev, S., Giusti, A., Gromov, B., Melo, K., Horvat, T., Cadena, C., Hutter, M., Ijspeert, A., Floreano, D., Gambardella, L. M., Siegwart, R., & Scaramuzza, D.
- Venue
- Journal of Field Robotics
- Publisher
- Wiley
- Published
- 2019-08-06
- Volume
- 36
- Issue
- 7
- Pages
- 1171-1191
- ISSN
- 1556-4959 (ISSN-L)
- 1556-4967
- OpenAlex
- W2965215408
- Cited by
- 371
- References
- 114
- FWCI
- 19.84
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
