24 citations · 70 across the 16 of their papers we have counts for
5 papers · 1 filter
In-Context Learning World Models for Robot Dual-Arm Manipulation of Soft Garment with Partial Observations
Hengyi Sim, Quentin Rouxel, Dennis Hong +2
Robust manipulation of soft objects, such as garments, is a critical skill for service and household robots to adopt, but remains challenging due to its high-dimensional state spac…
Reasoning Without Inference Cost: Latent Semantic Scaffolding for Robot VLA Policies
Andrew Ting Yan Li, Zhuo Li, Zhelin Yang +3
Vision-language-action (VLA) models are trained by imitation and capture what action to take but not why; adding causal reasoning improves manipulation, but current methods pay for…
Beyond Point-Attached Semantics: Stable Object-Centric Semantic Fields for Robust Manipulation
Zheng Sun, Lerong Zhang, Zhihao Li +3
Robotic manipulation often requires identifying functional parts, such as a mug handle or a hammer head. However, features attached to observed 3D points can vary with viewpoint an…
Transferability Through Cooperative Competitions
Rodrigo Serra, Carlos Azevedo, André Silva +6
This paper presents a novel framework for cooperative robotics competitions (coopetitions) that promote the transferability and composability of robotics modules, including softwar…
Adapt as You Say: Online Interactive Bimanual Skill Adaptation via Human Language Feedback
Zhuo Li, Dianxi Li, Tao Teng +5
Developing general-purpose robots capable of autonomously operating in human living environments requires the ability to adapt to continuously evolving task conditions. However, ad…