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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
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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
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Learning Dexterous Deformable Object Manipulation Through Cross-Embodiment Dynamics Learning
SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs
High-definition maps (HD maps) are detailed and informative maps capturing lane centerlines and road elements. Although very useful for …
Hitvarth Diwanji, Jing-Yan Liao, Akshar Tumu, Henrik I. Christensen, Marcell Vazquez-Chanlatte and Chikao Tsuchiya
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SD++: Enhancing Standard Definition Maps by Incorporating Road Knowledge using LLMs
MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis
Online mapping reduces the reliance of autonomous vehicles on high-definition (HD) maps, significantly enhancing scalability. However, …
Hengyuan Zhang, David Paz, Yuliang Guo, Xinyu Huang, Henrik Christensen and Liu Ren
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MapGS: Generalizable Pretraining and Data Augmentation for Online Mapping via Novel View Synthesis
SMART: Advancing Scalable Map Priors for Driving Topology Reasoning
Topology reasoning is crucial for autonomous driving as it enables comprehensive understanding of connec- tivity and relationships …
Junjie Ye, David Paz, Hengyuan Zhang, Yuliang Guo, Xinyu Huang, Henrik Iskov Christensen, Yue Wang, Liu Ren
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SMART: Advancing Scalable Map Priors for Driving Topology Reasoning
Planning for Tabletop Object Rearrangement
Finding an high-quality solution for the tabletop object rearrangement planning is a challenging problem. Compared to determining a …
Jiaming Hu, Jan Szczekulski, Sudhansh Peddabomma, Henrik Iskov Christensen
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Planning for Tabletop Object Rearrangement
Estimating Control Barriers from Offline Data
Learning-based control methods must satisfy safety requirements in order to be deployed in real-world robotics systems. Control …
Hongzhan Yu, Seth Farrell, Ryo Yoshimitsu, Zhizhen Qin, Henrik Christensen, Sicun Gao
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Estimating Control Barriers from Offline Data
Autonomous Exploration and Mapping Payload Integrated on a Quadruped Robot
Use of a Boston Dynamics SPOT to scan a 3D environment through automatic exploration
Raheema, Julian; Hess, Michael; Provost, Raymond C; Bilinski, Mark; Christensen, Henrik Iskov
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Autonomous Exploration and Mapping Payload Integrated on a Quadruped Robot