The DOI matches its Crossref record; 42 of the 44 references it cites were found in a registry or an index.
Collaboration Through the Exploitation of Local Interactions in Autonomous Collective Robotics: The Stick Pulling Experiment
Open accessOverview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The design of any HSI solution will also require an understanding of the psychological effects induced on humans who interact with a robot swarm in order to favor interaction modalities that reduce stress [111], [112] and improve usability and trust [113].”
From Swarm Robotics: Past, Present, and Future [Point of View] (2021) · cites this paper as [112]
Citations
Cites
Bonabeau, E. W., Dorigo, M., & Théraulaz, G. (1999) · Oxford University Press eBooks · doi:10.1093/oso/9780195131581.001.0001 · Cited by 6,653
Behavior-based formation control for multirobot teams
Balch, T. R., & Arkin, R. C. (1998) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.736776 · Cited by 3,113
ALLIANCE: an architecture for fault tolerant multirobot cooperation
Parker, L. E. (1998) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.681242 · Cited by 1,316
Swarm Intelligence: From Natural to Artificial Systems
Webb, B. H. (2002) · Connection Science · doi:10.1080/09540090210144948 · Cited by 1,219
Communication in reactive multiagent robotic systems
Balch, T. R., & Arkin, R. C. (1994) · Autonomous Robots · doi:10.1007/bf00735341 · Cited by 513
Mobile robot miniaturisation: A tool for investigation in control algorithms
Francesco Mondada, C., Franzi, E., & Ienne, P. (2005) · Springer eBooks · doi:10.1007/bfb0027617 · Cited by 454
Fom Local Actions to Global Tasks: Stigmergy and Collective Robotics
Beckers, R., Holland, O. E., & Deneubourg, J. (2000) · Studies in cognitive systems · doi:10.1007/978-94-010-0870-9_63 · Cited by 451
Cooperative transport by ants and robots
Kube, C. R., & Bonabeau, E. (2000) · Robotics and Autonomous Systems · doi:10.1016/s0921-8890(99)00066-4 · Cited by 434
Stigmergy, Self-Organization, and Sorting in Collective Robotics
Holland, O., & Melhuish, C. (1999) · Artificial Life · doi:10.1162/106454699568737 · Cited by 406
Interaction and Intelligent Behavior.
Matarić, M. J. (1994) · Defense Technical Information Center (DTIC) · doi:10.21236/ada290049 · Cited by 388
Research works printed but not linked: 3
- Beni, G. and Wang, J. 1989. Swarm intelligence. In Proc. of the Seventh Annual Meeting of the Robotics Society of Japan, Tokyo, Japan, pp. 425-428.
- Humberstone, C.K. and Smith, K.B. 2000. Object transport using multiple mobile robots wth pin joint endeffectors. In Proc. of the Fifth Int. Symp. on Distributed Autonomous Robotic Systems, DARS-00, Knoxville, TN, L.E. Parker, G. Bekey, and J. Barhen (Eds.), Springer Verlag: Berlin, pp. 417-426.
- Martinoli, A. 1999. Swarm intelligence in autonomous collective robotics: From tools to the analysis and synthesis of distributed control strategies. Unpublished doctoral dissertation, Ph.D. Thesis No 2069, EPFL.
Cited by
Sorted by citations
Items 101–200 of 206
Hamann, H., Aust, T., & Reina, A. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60376-2_11 · Cited by 8
Decentralized cooperative manipulation with a swarm of mobile robots: The approach problem
Esposito, J. M. (2010) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2010.5531109 · Cited by 8
A principled design methodology for minimalist multi-robot system controllers
Matarić, M. J., & Jones, C. V. (2005) · Cited by 8
(Co)Evolution of (De)Centralized Neural Control for a Gravitationally Driven Machine
Wischmann, S., Hülse, M., & Pasemann, F. (2005) · Lecture notes in computer science · doi:10.1007/11553090_19 · Cited by 8
An analysis of coordination in Multi-Robot Systems
Farinelli, A., Iocchi, L., & Nardi, D. (2004) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/icsmc.2003.1244622 · Cited by 8
Mathematical Analysis of Multi-Agent SystemsPreprint
Lerman, K., Galstyan, A., & Hogg, T. (2004) · arXiv (Cornell University) · doi:10.48550/arxiv.cs/0404002 · Cited by 8
Analysis of Dynamic Task Allocation in Multi-Robot Systems
Lerman, K., Jones, C., Galstyan, A., & Matarić, M. J. (2006) · Defense Technical Information Center (DTIC) · doi:10.21236/ada459067 · Cited by 8
Efficient Distributed Algorithm of Dynamic Task Assignment for Swarm Robotics
de Mendonça, R. M., Nedjah, N., & Mourelle, L. D. M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39637-3_39 · Cited by 7
Multi-Swarm Interaction Through Augmented Reality for Kilobots
Feola, L., Reina, A., Talamali, M. S., & Trianni, V. (2023) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2023.3312031 · Cited by 7
Crystallization-Inspired Design and Modeling of Self-Assembly Lattice-Formation Swarm Robotics
Pan, Z., Wen, G., Yin, H., Yin, S., & Tan, Z. (2024) · Sensors · doi:10.3390/s24103081 · Cited by 7
Ferrauto, T., Parisi, D., Stefano, G. D., & Baldassarre, G. (2013) · Artificial Life · doi:10.1162/artl_a_00106 · Cited by 7
Towards Evolutionary Design of Intelligent Transportation Systems
Martinoli, A., Zhang, Y., Prakash, P., Antonsson, E. K., & Olney, R. (2002) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 7
Self-citationOn the evolution of self-organising behaviours in a swarm of autonomous robots
Trianni, V., & Dorigo, M. (2006) · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · Cited by 7
Towards dynamic team formation for robot ensembles
Mather, T. W., Hsieh, M. A., & Frazzoli, E. (2010) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2010.5509490 · Cited by 6
Fuzzy and Neuro-fuzzy Based Co-operative Mobile robots
Pham, D. T., Awadalla, M. H. A., & Eldukhri, E. E. (2006) · Elsevier eBooks · doi:10.1016/b978-008045157-2/50101-2 · Cited by 6
Hamann, H. (2018) · Springer eBooks · doi:10.1007/978-3-319-74528-2_4 · Cited by 6
Analyzing macroscopic behavior in a swarm robotic system based on clustering
Ohkura, K., Yasuda, T., & Matsumura, Y. (2011) · Society of Instrument and Control Engineers of Japan · Cited by 6
A social approach for target localization: simulation and implementation in the marXbot robot
Satizábal, H. F., Upegui, A., Pérez-Uribe, A., Rétornaz, P., & Francesco Mondada, C. (2011) · Memetic Computing · doi:10.1007/s12293-011-0061-z · Cited by 6
An effective collaboration algorithm for swarm robots communicating by sematectonic stigmergy
Phan, T. A., & Russell, R. A. (2010) · International Conference on Control, Automation, Robotics and Vision (ICARCV) · doi:10.1109/icarcv.2010.5707786 · Cited by 6
A model of cooperative agent based on imitation and Maslow's Pyramid of needs
Herve, L. G., & Moga, S. (2009) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2009.5178916 · Cited by 6
Understanding the Behaviour of Reactive Robots in a Patrol Task by Analysing Their Trajectories
Kumar, S., Thach, N. H., & Suzuki, E. (2010) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2010.250 · Cited by 6
Characterizing The Limits of Linear Modeling of Non-Linear Swarm BehaviorsPreprint
Harwell, J., Sylvester, A., & Gini, M. L. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2110.12307 · Cited by 6
Evolving robot controllers for a homogeneous robotic swarm
Ohkura, K., Yasuda, T., Sakamoto, T., & Matsumura, Y. (2011) · IEEE/SICE International Symposium on System Integration (SII) · doi:10.1109/sii.2011.6147535 · Cited by 5
Collective Search and Exploration with a Robot Swarm
Ercan, M. F., Partawijaya., L., & Fung, Y. (2006) · IEEE Region 10 Conference (TENCON) · doi:10.1109/tencon.2006.344078 · Cited by 5
New coordination scheme for multi-robot systems based on state space models
Wenlong, X., Su, J., & Lin, Z. (2008) · Journal of Systems Engineering and Electronics · doi:10.1016/s1004-4132(08)60145-0 · Cited by 5
Swarm-Mediated Cluster-Based Construction
Kazadi, S. T., Wigglesworth, J., Grosz, A., Lim, A., & Vitullo, D. (2004) · Complex Systems · doi:10.25088/complexsystems.15.2.157 · Cited by 5
The Relation Between Communication Range and Controllability of Networked Multi-Agent Systems
Ouyang, B., Ye, Q., Patil, S., Wang, C., Lu, L., & Yan, Z. (2018) · IEEE Access · doi:10.1109/access.2018.2846281 · Cited by 5
Social Attitudes: Investigations with Agent Simulations Using Webots
Mitrović, I., & Dautenhahn, K. (2003) · University of Hertfordshire Research Archive (University of Hertfordshire) · Cited by 5
Emergence of Specialization in a Swarm of Robots
Halász, Á., Liang, Y., Hsieh, M. A., & Lai, H.-J. (2012) · Springer tracts in advanced robotics · doi:10.1007/978-3-642-32723-0_29 · Cited by 5
Locomotion Analysis and Experiment for Climbing Motion of RPRS
Zhang, L., Ma, S., Li, B., Zhang, G., He, X., Wang, M., Zhang, Z., & Cao, B. (2006) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2005.1570422 · Cited by 5
Cycles, Disjoint Spanning Trees and Orientations of Graphs
Liang, Y. (2012) · The Research Repository @ WVU (West Virginia University) · doi:10.33915/etd.3559 · Cited by 5
On the optimal size of a robust swarm
Kam, M. L. (2011) · International Journal of Computer Applications in Technology · doi:10.1504/ijcat.2011.042691 · Cited by 4
Tan, Y. (2016) · IGI Global eBooks · doi:10.4018/978-1-5225-0788-8.ch036 · Cited by 4
Information sharing in multi-agent search and task allocation problems
Minos-Stensrud, M., Moen, H. J. F., & Bjerknes, J. D. (2021) · IEEE Symposium Series on Computational Intelligence (SSCI) · doi:10.1109/ssci50451.2021.9660121 · Cited by 4
Al-Buraiki, O., & Payeur, P. (2023) · IEEE Access · doi:10.1109/access.2023.3339196 · Cited by 4
Task Allocation in Multi-Robot Systems Based on the Suitability Level of the Individual Agents
Al-Buraiki, O., & Payeur, P. (2021) · IEEE International Conference on Automation Science and Engineering (CASE) · doi:10.1109/case49439.2021.9551466 · Cited by 4
Towards accelerated distributed evolution for adaptive behaviours in swarm robotics
O’Dowd, P., Winfield, A. F. T., & Studley, M. (2010) · UWE Research Repository (UWE Bristol) · Cited by 4
Exploiting multiple robots to accelerate self-modeling
Bongard, J. (2007) · Genetic and Evolutionary Computation Conference (GECCO) · doi:10.1145/1276958.1277006 · Cited by 4
Autonomous learning of collaboration among robots
Arena, P., Patané, L., & Vitanza, A. (2012) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2012.6252664 · Cited by 4
Mathematical Modeling of Large Multi-Agent Systems
Lerman, K., Matarić, M. J., & Galstyan, A. (2005) · Defense Technical Information Center (DTIC) · doi:10.21236/ada439172 · Cited by 4
HCC Architecture - Hormonal Communications and Control Architecture
Thompson, P. R. (2004) · RIT Scholar Works (Rochester Institute of Technology) · Cited by 4
Optimization of Swarm Robotic Systems via Macroscopic Models
Martinoli, A., & Easton, K. (2003) · Infoscience (Ecole Polytechnique Fédérale de Lausanne) · Cited by 4
Self-citationGroup decision by house-hunting agents in multi-robot systems
Momen, S., Lima, T. I., & Raian, S. (2016) · International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR) · doi:10.1109/isamsr.2016.7810006 · Cited by 3
Advantages of multi-objective optimisation in evolutionary robotics: survey and case
Trianni, V., & opez-Ib, M. L. (2014) · Cited by 3
Decentralized Control of Minimalistic Robotic Swarms For Guaranteed Target Encapsulation
Sinhmar, H., & Kress‐Gazit, H. (2022) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros47612.2022.9981959 · Cited by 3
Automatic Design of Robot Swarms under Concurrent Design Criteria: A Study Based on Iterated F‐Race
Ramos, D. G., Pagnozzi, F., Stützle, T., & Birattari, M. (2024) · Advanced Intelligent Systems · doi:10.1002/aisy.202400332 · Cited by 3
FRACTAL, A MICROSCOPIC CROWD MODEL
Widyarto, S., & Latiff, M. S. A. (2008) · Fractals · doi:10.1142/s0218348x08004095 · Cited by 3
Collective Transport of Robots: Emergent Flocking from Minimalist Multi-robot Leader-following
Gupta, M., Das, J., Vieira, M. A. M., Heidarsson, H., Vathsangam, H., & Sukhatme, G. S. (2009) · Cited by 3
Collective Manipulation and Construction
Parker, L. E. (2015) · Springer eBooks · doi:10.1007/978-3-662-43505-2_72 · Cited by 3
Distributed Learning in Swarm Systems: A Case Study
Li, L. (2002) · Cited by 3
A Decentralized Ant Colony Foraging Model Using Only Stigmergic Communication
Fortino, G., Zedadra, O., Jouandeau, N., & Séridi, H. (2014) · HAL · Cited by 3
Kanakia, A. (2016) · CU Scholar (University of Colorado Boulder) · Cited by 3
Adaptive co-operative mobile robots
Awadalla, M. H. A. (2005) · ORCA Online Research @Cardiff (Cardiff University) · Cited by 3
Distributed Cognition as the Basis for Adaptation and Homeostasis in Robots
Stovold, J. (2016) · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · Cited by 3
Educational Robotics: From Computational to Complexity Thinking
Gigliotta, O., Ponticorvo, M., Chinzer, E., Nobile, C., Giorgini, D., & Vitanza, A. (2025) · Communications in computer and information science · doi:10.1007/978-3-031-93631-9_20 · Cited by 2
Modelling a Deposition Process in Collective Construction
Stewart, R. L., Russell, R. A., & Kleeman, L. (2007) · Cited by 2
Swarm robots search when local sense and interactions
Xue, S., & Zeng, J. (2008) · World Congress on Intelligent Control and Automation · doi:10.1109/wcica.2008.4594363 · Cited by 2
Robot Swarm Navigation: Methods, Analysis, and Applications
Sun, Z. (2021) · International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE) · doi:10.1109/icbase53849.2021.00131 · Cited by 2
Collective Retrieval hy Autonomous Rohots
Meyer, P. E. (2004) · Frontiers in artificial intelligence and applications · Cited by 2
Social Target Localization in a Population of Foragers
Satizábal, H. F., Upegui, A., & Pérez-Uribe, A. (2010) · Studies in computational intelligence · doi:10.1007/978-3-642-12538-6_2 · Cited by 2
Parker, C. C., & Zhang, H. (2006) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2006.281868 · Cited by 2
Collaborative automation in factories of the future: review and survey
Ajidarma, P., & Nof, S. Y. (2025) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-025-02710-5 · Cited by 1
On the Cost of Evolving Task Specialization in Multi-Robot Systems
Leopardi, P., Hamann, H., Kuckling, J., & Kaiser, T. K. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-26123-6_35 · Cited by 1
Strategies of division of labour for improving task efficiency in multi-robot systems
Momen, S., & SHARKEY, A. J. C. (2009) · World Congress on Nature and Biologically Inspired Computing (NaBIC) · doi:10.1109/nabic.2009.5393458 · Cited by 1
Stuker, S., Adreit, F., Couveignes, J.-M., & Gleizes, M.-P. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-13191-7_30 · Cited by 1
A distributed approach to load balance for multi-robot task allocation
Zhou, J. T., Mu, D., Yang, F., Dai, G., & Shell, D. A. (2014) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma.2014.6885767 · Cited by 1
Co-operating Mobile Robots Approaches
Awadalla, M. H. A., Al‐Khazraji, A., & Delimi, K. A. (2015) · doi:10.13140/rg.2.2.10618.85449 · Cited by 1
Controllability of Networks with Multivariable Agents
Ouyang, B., Pati, S., Wang, C., & Lu, L. (2018) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.2018.8431679 · Cited by 1
INFORMATION THEORETIC SELF-ORGANIZATION OF MULTIPLE AGENTS
Chandrasekar, R. (2003) · Cited by 1
A Macroscopic Model for Differential Privacy in Dynamic Robotic NetworksPreprint
Prorok, A., & Kumar, V. S. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1703.04797 · Cited by 1
Design and control of collaborative, cross and carry mobile robots : C3Bots
Hichri, B. (2015) · theses.fr (ABES) · doi:10.70675/3585bad8zca3ez4538z8194z16814d4bd239 · Cited by 1
Bonn, U. U. L. (2008) · bonndoc (University of Bonn) · Cited by 1
Design of Adaptive Collective Foraging in Swarm Robotic Systems
Dai, H. (2010) · ScholarWorks - WMU (Western Michigan University) · Cited by 1
Logistique hospitalière à l’aide de robots mobiles reconfigurables
Baalbaki, H. (2011) · theses.fr (ABES) · doi:10.70675/fd4eabcdz3490z47f5z9636zfc428e8c11f2
BP Networks Based Trajectory Planning and Inverse Kinematics of a Reconfigurable Mars Rover
Zhang, L., Ma, S., Li, B., Zhang, Z., Zhang, G., & Cao, B. (2005) · Lecture notes in computer science · doi:10.1007/11427469_39
ADAPTIVE KNOWLEDGE-BASED ACTION SELECTION ARCHITECTURE FOR MULTIPLE MOBILE ROBOTS
Pham, D. T., Awadalla, M. H. A., & Eldukhri, E. E. (2006) · IFAC Proceedings Volumes · doi:10.3182/20060517-3-fr-2903.00075
Distance based communication in the surveillance task in a multi-robot system
Neouchi, R., Zhang, H., & Elio, R. (2005) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2005.1544985
Algoritmo distribuído para atribuição dinâmica de tarefas em um enxame de robôs
de Mendonça, R. M., Nedjah, N., & Mourelle, L. D. M. (2013) · Proceeding Series of the Brazilian Society of Computational and Applied Mathematics · doi:10.5540/03.2013.001.01.0047
Simulation of Cooperative Behavioral Trends by Local Interaction Rules
Shapira, O., Rabinovich, Z., & Rosenschein, J. S. (2005) · ePrints Soton (University of Southampton)
Control and Coordination in a Networked Robotic Platform
Kalavacharla, K. C. (2011)
A Methodology to Evolve Cooperation in Pursuit Domain using Genetic Network Programming
Naeini, A. T. (2014) · Spectrum Research Repository (Concordia University)
Collaborator: A Nonholonomic Multiagent Team for Tasks in a Dynamic Environment
Ren, J., & Green, M. (2009) · Journal of Robotics · doi:10.1155/2009/986207
Angefertigt mit Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der
Bonn, R. F.-W.-U. (2012)
Online evolution of robot behaviour
da Silva, F. G. (2012) · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Robotique en essaim: récents résultats et directions futures
Nembrini, J., & Martinoli, A. (2007) · Infoscience (Ecole Polytechnique Fédérale de Lausanne)
Self-citationHoney Bee Swarm Inspired Cooperative Foraging Systems in Dynamic Environments
Lee, J., An, J., & Ahn, C. W. (2016) · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · doi:10.1587/transfun.e99.a.1171
Blue Paper: A Research Roadmap for Developing Artificial Embodied and Communicating Agents
Nolfi, S., Floreano, D., Halloy, J., Holmquist, L. E., Loreto, V., Solé, R. V., & Steels, L. (2007)
Neural dynamics of social behavior
Wischmann, S. (2008) · Fraunhofer-Publica (Fraunhofer-Gesellschaft)
GenGrid: A Generalised Distributed Experimental Environmental Grid for Swarm Robotics
Kedia, P., & Rao, M. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561654
Search and restore: a study of cooperative multi-robot systems
Haire, M. (2021) · Sheffield Hallam University · doi:10.7190/shu-thesis-00395
Efficient Sweeping Algorithm for Multi-Security Mobile Robots
Shon, W., Han, C.-S., & Ji, S.-H. (2010) · The Transactions of The Korean Institute of Electrical Engineers · doi:10.5370/kiee.2010.59.9.1686
Valentini, G. (2017) · Studies in computational intelligence · doi:10.1007/978-3-319-53609-5_1
Winfield, A. F. T. (2013) · Springer eBooks · doi:10.1007/978-3-642-27737-5_217-4
An empirical characterization of ODE models of swarm behaviors in common foraging scenarios
Harwell, J., Sylvester, A., & Gini, M. L. (2023) · Autonomous Robots · doi:10.1007/s10514-023-10121-9
McFassel, G., & Shell, D. A. (2023) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros55552.2023.10421774
Learning system for self-reconfiguration of micro-robot networks
Buchi, B. (2023) · theses.fr (ABES) · doi:10.70675/d80cd70fze0d5z4638z80b6zdc6dec57cc7f
Multi-robot System Architectures
Baumann, C., Erünsal, İ. K., & Martinoli, A. (2024) · Springer eBooks · doi:10.1007/978-3-642-41610-1_225-1
Self-citationHayakawa, T., Yasuda, T., & Matsuno, F. (2025) · Adaptive Behavior · doi:10.1177/10597123241309184
Metadata
- Authors
- Ijspeert, A. J., Martinoli, A., Billard, A., & Gambardella, L. M.
- Affiliations
- Dalle Molle Institute for Artificial Intelligence Research (CH)
- École Polytechnique Fédérale de Lausanne (CH)
- Venue
- Autonomous Robots
- Published
- 2001-09
- Volume
- 11
- Issue
- 2
- Pages
- 149-171
- ISSN
- 0929-5593 (ISSN-L)
- 1573-7527
- OpenAlex
- W2126361298
- Cited by
- 204
- References
- 44
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 4 · 2023: 4 · 2022: 2 · 2021: 9 · 2020: 1 · 2019: 3 · 2018: 4 · 2017: 5 · 2016: 9 · 2015: 11 · 2014: 10 · 2013: 12 · 2012: 7
- FWCI
- 34.11
- Type
- journal article
- Language
- en
- Open access
- green
- infoscience.epfl.ch
- Licence
- Locations
- Autonomous Robots (publishedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Control and Dynamics of Mobile Robots
- Keywords
- collective robotics, robot collaboration, local interactions, Khepera robot, Webots simulation, reactive robots, cooperative manipulation
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 ›
Are you an author, or do you see a problem with this page? Request a review
