2 citations · 2 across the 4 of their papers we have counts for
5 papers
Semantically Structured Mixture-of-Experts for Compositional Robotic Manipulation
Chengyu Deng, Guanqi Chen, Yizhou Chen +4
Diffusion-based policies have established a new standard for precise robotic manipulation but face a critical scalability bottleneck: high-performance models are computationally ex…
Beyond Pixels: Learning Invariant Rewards for Real-World Robotics From a Few Demonstrations
Tengye Xu, Yangting Sun, Ziju Shen +5
Designing reward functions that generalize beyond controlled laboratory settings remains a fundamental challenge in reinforcement learning for robotics. In open-world manipulation…
Understanding Particles From Video: Property Estimation of Granular Materials via Visuo-Haptic Learning
Zeqing Zhang, Guangze Zheng, Xuebo Ji +6
Granular materials (GMs) are ubiquitous in daily life. Understanding their properties is also important, especially in agriculture and industry. However, existing works require ded…
Language-Augmented Symbolic Planner for Open-World Task Planning
Guanqi Chen, Lei Yang, Ruixing Jia +5
Enabling robotic agents to perform complex long-horizon tasks has been a long-standing goal in robotics and artificial intelligence (AI). Despite the potential shown by large langu…
Evaluating Explanation Methods for Vision-and-Language Navigation
Guanqi Chen, Lei Yang, Guanhua Chen +1
The ability to navigate robots with natural language instructions in an unknown environment is a crucial step for achieving embodied artificial intelligence (AI). With the improvin…