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cs.RO2025

Phys2Real: Fusing VLM Priors with Interactive Online Adaptation for Uncertainty-Aware Sim-to-Real Manipulation

Maggie Wang, Stephen Tian, Aiden Swann +3

Learning robotic manipulation policies directly in the real world can be expensive and time-consuming. While reinforcement learning (RL) policies trained in simulation present a sc…

cs.RO2025

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition

Ruiyang Hao, Haibao Yu, Jiaru Zhong +16

With the rapid advancement of autonomous driving technology, vehicle-to-everything (V2X) communication has emerged as a key enabler for extending perception range and enhancing dri…

cs.RO2025

SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps

Ola Shorinwa, Jiankai Sun, Mac Schwager +1

We present SIREN for registration of multi-robot Gaussian Splatting (GSplat) maps, with zero access to camera poses, images, and inter-map transforms for initialization or fusion o…

cs.RO2024

DisCo: Distributed Contact-Rich Trajectory Optimization for Forceful Multi-Robot Collaboration

Ola Shorinwa, Matthew Devlin, Elliot W. Hawkes +1

We present DisCo, a distributed algorithm for contact-rich, multi-robot tasks. DisCo is a distributed contact-implicit trajectory optimization algorithm, which allows a group of ro…

cs.RO2024

ARCH: Hierarchical Hybrid Learning for Long-Horizon Contact-Rich Robotic Assembly

Jiankai Sun, Aidan Curtis, Yang You +8

Generalizable long-horizon robotic assembly requires reasoning at multiple levels of abstraction. While end-to-end imitation learning (IL) is a promising approach, it typically req…

cs.RO2024

E2Map: Experience-and-Emotion Map for Self-Reflective Robot Navigation with Language Models

Chan Kim, Keonwoo Kim, Mintaek Oh +10

Large language models (LLMs) have shown significant potential in guiding embodied agents to execute language instructions across a range of tasks, including robotic manipulation an…