54 citations · 117 across the 20 of their papers we have counts for
20 papers
M3-Tele: A Unified Multimodal Teleoperational Framework for Compliant Whole-Body Mobile Manipulation
Hengxiang Chen, Shenwen Deng, Yujian Ma +3
Executing contact-rich tasks efficiently requires the seamless integration of whole-body coordination and physical compliance regulation. However, existing teleoperation and data-c…
ConFlow: Constraints-Guided Learning with Flow Matching for Motion Generation
Nutan Chen, Jianxiang Feng, Marvin Alles +1
In recent years Flow Matching has become a prominent method for generative modeling robot motion generation. In its generic form Flow Matching is an ODE-based neural sampler that i…
Robotic Perception with a Large Tactile-Vision-Language Model for Physical Property Inference
Zexiang Guo, Hengxiang Chen, Xinheng Mai +5
Inferring physical properties can significantly enhance robotic manipulation by enabling robots to handle objects safely and efficiently through adaptive grasping strategies. Previ…
FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
Marvin Alles, Nutan Chen, Patrick van der Smagt +1
The use of guidance to steer sampling toward desired outcomes has been widely explored within diffusion models, especially in applications such as image and trajectory generation.…
LIMT: Language-Informed Multi-Task Visual World Models
Elie Aljalbout, Nikolaos Sotirakis, Patrick van der Smagt +2
Most recent successes in robot reinforcement learning involve learning a specialized single-task agent. However, robots capable of performing multiple tasks can be much more valuab…
A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation
Yin Li, Qi Chen, Kai Wang +10
Multi-modality magnetic resonance imaging(MRI) data facilitate the early diagnosis, tumor segmentation, and disease staging in the management of nasopharyngeal carcinoma (NPC). The…