8 papers
Temporal Self-Imitation Learning
Yinsen Jia, Boyuan Chen
Long-horizon policies trained with reinforcement learning can still achieve high return through inefficient interactions, while rare efficient behaviors discovered during training…
HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World Model
Dongting Li, Xingyu Chen, Qianyang Wu +10
Humanoid robots show promise for complex whole-body tasks in unstructured environments. Although Human-Object Interaction (HOI) has advanced, most methods focus on fully actuated o…
TumorMap: A Laser-based Surgical Platform for 3D Tumor Mapping and Fully-Automated Tumor Resection
Guangshen Ma, Ravi Prakash, Beatrice Schleupner +10
Surgical resection of malignant solid tumors is critically dependent on the surgeon's ability to accurately identify pathological tissue and remove the tumor while preserving surro…
Time as a Control Dimension in Robot Learning
Yinsen Jia, Boyuan Chen
Temporal awareness plays a central role in intelligent behavior by shaping how actions are paced, coordinated, and adapted to changing goals and environments. In contrast, most rob…
Scensory: Real-Time Robotic Olfactory Perception for Joint Identification and Source Localization
Yanbaihui Liu, Erica Babusci, Claudia K. Gunsch +1
Olfaction offers robots access to chemical information that is largely inaccessible to vision, touch, and audition, yet using airborne chemical signals for spatial perception remai…
A Paragraph is All It Takes: Rich Robot Behaviors from Interacting, Trusted LLMs
OpenMind, Shaohong Zhong, Adam Zhou +3
Large Language Models (LLMs) are compact representations of all public knowledge of our physical environment and animal and human behaviors. The application of LLMs to robotics may…
Automated Discovery of Operable Dynamics from Videos
Kuang Huang, Dong Heon Cho, Boyuan Chen
Dynamical systems form the foundation of scientific discovery, traditionally modeled with predefined state variables such as the angle and angular velocity, and differential equati…
ClutterGen: A Cluttered Scene Generator for Robot Learning
Yinsen Jia, Boyuan Chen
We introduce ClutterGen, a physically compliant simulation scene generator capable of producing highly diverse, cluttered, and stable scenes for robot learning. Generating such sce…