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Safe Human Robot Navigation in Warehouse Scenario
The integration of autonomous mobile robots (AMRs) in industrial environments, particularly warehouses, has revolutionized logistics …
Seth Farrell, Chenghao Li, Hongzhan Yu, Ryo Yoshimitsu, Sicun Gao, Henrik I. Christensen
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Safe Human Robot Navigation in Warehouse Scenario
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Vision is well-known for its use in manipulation, especially using visual servoing. To make it robust, multiple cameras are needed to …
Abdulaziz Almuzairee, Rohan Prashant Patil, Dwait Bhatt, Henrik I Christensen
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Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Towards Embodiment Scaling Laws in Robot Locomotion
Developing generalist agents that operate across diverse tasks, environments, and robot embodiments is a grand challenge in robotics …
Bo Ai, Liu Dai, Nico Bohlinger, Dichen Li, Tongzhou Mu, Zhanxin Wu, K. Fay, Henrik I Christensen, Jan Peters, Hao Su
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Towards Embodiment Scaling Laws in Robot Locomotion
cpRRTC: GPU-Parallel RRT-Connect for Constrained Motion Planning
Motion planning is a fundamental problem in robotics that involves generating feasible trajectories for a robot to follow. Recent …
Jiaming Hu, Jiawei Wang, Henrik Christensen
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cpRRTC: GPU-Parallel RRT-Connect for Constrained Motion Planning
Learning Dexterous Deformable Object Manipulation Through Cross-Embodiment Dynamic Learning
Dexterous manipulation of deformable objects remains a core challenge in robotics due to complex contact dynamics and high-dimensional …
Zihao He, Bo Ai, Yulin Liu, Weikang Wan, Henrik I Christensen, Hao Su
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Learning Dexterous Deformable Object Manipulation Through Cross-Embodiment Dynamic Learning
Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
Lane-topology prediction is a critical component of safe and reliable autonomous navigation. An accurate understanding of the road …
Akshar Tumu, Henrik I. Christensen, Marcell Vazquez-Chanlatte, Chikao Tsuchiya, Dhaval Bhanderi
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Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
Light-Weight Autonomous Driving Scooter for Urban Micro-Mobility
Rental electric scooters provide an effective last-mile mobility solution in spatially extensive environments. Nevertheless, existing …
Chenghao Li, Tong Shen, Seth Farrell and Henrik Christensen
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Light-Weight Autonomous Driving Scooter for Urban Micro-Mobility
Real-Time Online Mapping for Autonomous Driving : Addressing Sensor Generalization and Dynamic Map Updates in Campus Environments
High-definition (HD) maps are essential for autonomous driving systems, providing critical information such as road boundaries, lane …
Zihan Zhang, Abhijit Ravichandran, Pragnya Korti, Luobin Wang and Henrik Iskov Christensen
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Real-Time Online Mapping for Autonomous Driving : Addressing Sensor Generalization and Dynamic Map Updates in Campus Environments
Towards Embodiment Scaling Laws in Robot Locomotion
Developing generalist agents that can operate across diverse tasks, environments, and robot embodiments is a grand challenge in …
Bo Ai, Liu Dai, Nico Bohlinger, Dichen Li, Tongzhou Mu, Zhanxin Wu, K. Fay, Henrik I Christensen, Jan Peters and Hao Su
PDF Cite Project
Towards Embodiment Scaling Laws in Robot Locomotion
Learning Dexterous Deformable Object Manipulation Through Cross-Embodiment Dynamics Learning
Dexterous manipulation of deformable objects remains a core challenge in robotics due to complex contact dynamics and high-dimensional …
Zihao He, Bo Ai, Yulin Liu, Weikang Wan, Henrik I. Christensen, Hao Su
Cite Project
Learning Dexterous Deformable Object Manipulation Through Cross-Embodiment Dynamics Learning