226 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Toyota Research Institute8 papers
- Massachusetts Institute of TechnologyUS5 papers
- Toyota Central Research and Development Laboratories (Japan)JP5 papers
- Keio UniversityJP4 papers
- University of California, BerkeleyUS4 papers
- University of MichiganUS3 papers
- Ann Arbor Center for Independent LivingUS2 papers
- Columbia UniversityUS2 papers
- Georgia State UniversityUS2 papers
- IBM Research - TokyoJP2 papers
- Infotech Soft (United States)US2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
9 papers · 1 filter
Vehicle Painting Robot Path Planning Using Hierarchical Optimization
Yuya Nagai, Hiromitsu Nakamura, Narito Shinmachi +2
In vehicle production factories, the vehicle painting process employs multiple robotic arms to simultaneously apply paint to car bodies advancing along a conveyor line. Designing p…
SIMSplat: Language-Aligned 4D Gaussian Splatting for Driving Scenario Generation
Sung-Yeon Park, Adam Lee, Juanwu Lu +6
Driving scene manipulation using real-world sensor data has emerged as a promising alternative to traditional driving simulators. Despite advances in language control and neural sc…
Vision-Proprioception Fusion with Mamba2 in End-to-End Reinforcement Learning for Motion Control
Xiaowen Tao, Yinuo Wang, Jinzhao Zhou
End-to-end reinforcement learning (RL) for motion control trains policies directly from sensor inputs to motor commands, enabling unified controllers for different robots and tasks…
GPU-Accelerated Barrier-Rate Guided MPPI Control for Tractor-Trailer Systems
Keyvan Majd, Hardik Parwana, Bardh Hoxha +3
Articulated vehicles such as tractor-trailers, yard trucks, and similar platforms must often reverse and maneuver in cluttered spaces where pedestrians are present. We present how…
LocoMamba: Vision-Driven Locomotion via End-to-End Deep Reinforcement Learning with Mamba
Yinuo Wang, Gavin Tao
We introduce LocoMamba, a vision-driven cross-modal DRL framework built on selective state-space models, specifically leveraging Mamba, that achieves near-linear-time sequence mode…
Edge Case Detection in Automated Driving: Methods, Challenges, and Future Directions
Saeed Rahmani, Sabine Rieder, Erwin de Gelder +6
Automated vehicles (AVs) promise to enhance transportation safety and efficiency. However, ensuring their reliability in real-world conditions remains challenging, particularly due…
Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach
Max Bajracharya, James Borders, Richard Cheng +11
We present our general-purpose mobile manipulation system consisting of a custom robot platform and key algorithms spanning perception and planning. To extensively test the system…
SceNDD: A Scenario-based Naturalistic Driving Dataset
Avinash Prabu, Nitya Ranjan, Lingxi Li +4
In this paper, we propose SceNDD: a scenario-based naturalistic driving dataset that is built upon data collected from an instrumented vehicle in downtown Indianapolis. The data co…
Ex-DoF: Expansion of Action Degree-of-Freedom with Virtual Camera Rotation for Omnidirectional Image
Kosuke Tahara, Noriaki Hirose
Inter-robot transfer of training data is a little explored topic in learning- and vision-based robot control. Here we propose a transfer method from a robot with a lower Degree-of-…