all AI news
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly
April 30, 2024, 4:43 a.m. | Haohong Lin, Radu Corcodel, Ding Zhao
cs.LG updates on arXiv.org arxiv.org
Abstract: Furniture assembly remains an unsolved problem in robotic manipulation due to its long task horizon and nongeneralizable operations plan. This paper presents the Tactile Ensemble Skill Transfer (TEST) framework, a pioneering offline reinforcement learning (RL) approach that incorporates tactile feedback in the control loop. TEST's core design is to learn a skill transition model for high-level planning, along with a set of adaptive intra-skill goal-reaching policies. Such design aims to solve the robotic furniture assembly …
abstract arxiv assembly control cs.lg cs.ro ensemble feedback framework furniture horizon loop manipulation offline operations paper reinforcement reinforcement learning robotic robotic manipulation skill test transfer type unsolved
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US