Foundation Models Defining a New Era in Vision: a Survey and Outlook
Vision systems that see and reason about the compositional nature of visual scenes are
fundamental to understanding our world. The complex relations between objects and their …
fundamental to understanding our world. The complex relations between objects and their …
Kinematic-aware prompting for generalizable articulated object manipulation with llms
Generalizable articulated object manipulation is essential for home-assistant robots. Recent
efforts focus on imitation learning from demonstrations or reinforcement learning in …
efforts focus on imitation learning from demonstrations or reinforcement learning in …
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
Manipulating deformable objects remains a challenge within robotics due to the difficulties of
state estimation, long-horizon planning, and predicting how the object will deform given an …
state estimation, long-horizon planning, and predicting how the object will deform given an …
Birp: Learning robot generalized bimanual coordination using relative parameterization method on human demonstration
Human bimanual manipulation can perform more complex tasks than a simple combination
of two single arms, which is credited to the spatio-temporal coordination between the arms …
of two single arms, which is credited to the spatio-temporal coordination between the arms …
Human-Humanoid Robots Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning from Demonstration
Humanoid robots are envisioned as embodied intelligent agents capable of performing a
wide range of human-level loco-manipulation tasks, particularly in scenarios requiring …
wide range of human-level loco-manipulation tasks, particularly in scenarios requiring …
Learning Goal-oriented Bimanual Dough Rolling Using Dynamic Heterogeneous Graph Based on Human Demonstration
Soft object manipulation poses significant challenges for robots, requiring effective
techniques for state representation and manipulation policy learning. State representation …
techniques for state representation and manipulation policy learning. State representation …
Enhancing the LLM-Based Robot Manipulation Through Human-Robot Collaboration
Large Language Models (LLMs) are gaining popularity in the field of robotics. However, LLM-
based robots are limited to simple, repetitive motions due to the poor integration between …
based robots are limited to simple, repetitive motions due to the poor integration between …
A Deep Learning-based Grasp Pose Estimation Approach for Large-Size Deformable Objects in Clutter
Deformable objects especially large-size de-formable objects grasping is unappreciated but
widespread in industrial applications (eg, clothes recycling). While it encounters several …
widespread in industrial applications (eg, clothes recycling). While it encounters several …
[PDF][PDF] Improving LLM-based Robot Control via Human-Robot Cooperation
SR SM, V Kumar, M Srinivas, S Bhat - 2024 - researchgate.net
In the field of robotics, large language models, or LLMs, are becoming more and more
common. However, because of the inadequate connection between LLM and motion, LLM …
common. However, because of the inadequate connection between LLM and motion, LLM …
Autonomous Clay Sculpting from Human Demonstrations with Point Cloud Goal Conditioned Diffusion Policy
3D deformable object manipulation remains a challenge due to the difficulties of state
estimation, long-horizon planning, and predicting how the object will deform given an …
estimation, long-horizon planning, and predicting how the object will deform given an …