LLM and Robotics Meetings

Papers

Manipulators

RT-1: Robotics Transformer for Real-World Control at Scale

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Ground Robot

ViNG: Learning Open-World Navigation with Visual Goals

LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action

GNM: A General Navigation Model to Drive Any Robot

ViNT: A Foundation Model for Visual Navigation

Navigation with Large Language Models: Semantic Guesswork as a Heuristic for Planning

NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration