4 citations · 9 across the 8 of their papers we have counts for
8 papers
Robotic Assistant: Completing Collaborative Tasks with Dexterous Vision-Language-Action Models
Boshi An, Chenyu Yang, Robert Katzschmann
We adapt a pre-trained Vision-Language-Action (VLA) model (Open-VLA) for dexterous human-robot collaboration with minimal language prompting. Our approach adds (i) FiLM conditionin…
Arnold: A multi-task, multi-embodiment muscle transformer policy
Boshi An, Alberto Silvio Chiappa, Merkourios Simos +2
Controlling high-dimensional and nonlinear musculoskeletal models of the human body is a foundational scientific challenge. Recent machine learning breakthroughs have heralded in-s…
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Haoran Geng, Feishi Wang, Songlin Wei +34
Data scaling and standardized evaluation benchmarks have driven significant advances in natural language processing and computer vision. However, robotics faces unique challenges i…
Bilateral Propagation Network for Depth Completion
Jie Tang, Fei-Peng Tian, Boshi An +2
Depth completion aims to derive a dense depth map from sparse depth measurements with a synchronized color image. Current state-of-the-art (SOTA) methods are predominantly propagat…
ImageManip: Image-based Robotic Manipulation with Affordance-guided Next View Selection
Xiaoqi Li, Yanzi Wang, Yan Shen +6
In the realm of future home-assistant robots, 3D articulated object manipulation is essential for enabling robots to interact with their environment. Many existing studies make use…
RGBManip: Monocular Image-based Robotic Manipulation through Active Object Pose Estimation
Boshi An, Yiran Geng, Kai Chen +3
Robotic manipulation requires accurate perception of the environment, which poses a significant challenge due to its inherent complexity and constantly changing nature. In this con…
Learning Multi-Object Positional Relationships via Emergent Communication
Yicheng Feng, Boshi An, Zongqing Lu
The study of emergent communication has been dedicated to interactive artificial intelligence. While existing work focuses on communication about single objects or complex image sc…
End-to-End Affordance Learning for Robotic Manipulation
Yiran Geng, Boshi An, Haoran Geng +3
Learning to manipulate 3D objects in an interactive environment has been a challenging problem in Reinforcement Learning (RL). In particular, it is hard to train a policy that can…