Signals 4 · free daily AI digest

PolicyIK: High-Precision Inverse Kinematics for Robot Arms with Reinforcement Learning

Paper recorded by Signals 4 on 2026-11-03 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-03 on arXiv · recorded by Signals 4 on 2026-11-04

Category: cs.LG · 机器学习 · first seen 2026-11-04

Abstract

Inverse kinematics (IK) converts end-effector pose commands into joint motion, and many vision-language-action (VLA) policies rely on it to act on a given arm and to transfer across embodiments. Precise IK remains laborious: redundancy and singularities complicate the inverse mapping, execution depends on hand-tuned controllers, and training data on physical robots are costly to collect. We presen

Read on arXiv →

#1 most recent of 703 cs.LG papers we have recorded · ↓ older: GUILD: Guided Iterative Data Collection for Imitation Learning
Cite this page: PolicyIK: High-Precision Inverse Kinematics for Robot Arms with Reinforcement Learning: the #1 most recent of 703 cs.LG papers we have recorded (as of 2026-11-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/policyik-high-precision-inverse-kinematics-for-robot-arms-with-reinforcement-lea.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.LG papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions