This project provides a framework for controlling robots in robot hardware and MuJoCo simulation through XR (VR/AR) input devices. It allows users to manipulate robot arms using natural hand movements ...

Abstract: In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling approach has spurred significant interest in their use as priors in Bayesian inverse problems.

Abstract: A new modeling framework integrating Ramer-Douglas-Peucker (RDP) non-uniform sampling (NUS) with a Long Short-Term Memory (LSTM)-Fully Connected Network (FCN) hybrid neural network (LFN) is ...

Recently, there have been significant research interests in training large language models (LLMs) with reinforcement learning (RL) on real-world tasks, such as multi-turn code generation. While online ...