Christensen, Henrik I.

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0

O’Neill, A., Rehman, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., Mandlekar, A., Jain, A., et al. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 210

Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Embodiment Collaboration, O'Neill, A., Rehman, A., Gupta, A., Maddukuri, A., Gupta, A., Padalkar, A., Lee, A., Pooley, A., Gupta, A., et al. (2023) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 111

Distributed trajectory estimation with privacy and communication constraints: A two-stage distributed Gauss-Seidel approach

Choudhary, S., Carlone, L., Nieto, C., Rogers, J., Christensen, H. I., & Dellaert, F. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA)

Distributed Control Multi-Agent SystemsRobotics and Sensor-Based Localization

Cited by 51

StuffNet: Using ‘Stuff’ to Improve Object Detection

Brahmbhatt, S., Christensen, H. I., & Hays, J. (2017) · 2017 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

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Towards Embodiment Scaling Laws in Robot Locomotion

Ai, B., Dai, L., Bohlinger, N., Li, D., Mu, T., Wu, Z., Fay, K., Christensen, H. I., Peters, J., & Su, H. (2025) · arXiv

Reinforcement Learning in RoboticsRobotic Locomotion and Control

Cited by 0