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CoRL 2026

6 articles · Page 1 of 1

Nov 2, 2026 · Artificial Intelligence

GR-BC: Graph Search Extracts Effective Actions from Imperfect Robot Demos

Zhejiang University and TeleAI propose GR-BC, a graph-reweighted behavior cloning method that builds a graph from multiple robot demonstrations, uses reverse Dijkstra search to compute progress, and weights actions by net progress and minimal backtracking, achieving 91% average success on four precise manipulation tasks.

Behavior CloningCoRL 2026Dijkstra Algorithm

0 likes · 10 min read

GR-BC: Graph Search Extracts Effective Actions from Imperfect Robot Demos

SmartApe AI

Oct 28, 2026 · Artificial Intelligence

UW PhD Joins NUS, CoRL 2026 Spotlight: $6K Robot Achieves Embodied Reasoning

University of Washington PhD Jianfei Duan joins NUS as Presidential Young Professor, founding MAGIC Lab; his CoRL 2026 Spotlight paper MolmoAct2 and Oral paper MolmoB0T demonstrate low-cost robots ($6K) performing embodied reasoning, building on prior work in robot learning, failure diagnosis, and generalization benchmarks.

CoRL 2026Embodied AIFailure Diagnosis

0 likes · 6 min read

UW PhD Joins NUS, CoRL 2026 Spotlight: $6K Robot Achieves Embodied Reasoning

Baidu Intelligent Cloud Tech Hub

Oct 22, 2026 · Artificial Intelligence

Baidu Baige Adapts RLinf v0.4: LEGO-style Robot RL, 2.37x Throughput, Sim-to-Real

Baidu Baige immediately adapted RLinf v0.4, an open-source reinforcement learning framework for embodied intelligence, providing pre-built images for three scenarios: Cosmos3 fine-tuning on LIBERO, Pi0.5 evaluation via ApxInf, and sim-to-real collaborative training using RL-Co, while detailing RLinf v0.4's modular robot interfaces, four new real-robot algorithms, expanded model support, realistic simulation benchmarks, and domestic chip compatibility, alongside Baige's full-chain AI Infra optimizations across data pipeline, training, simulation, and inference.

AI infrastructureBaidu BaigeCoRL 2026

0 likes · 16 min read

Baidu Baige Adapts RLinf v0.4: LEGO-style Robot RL, 2.37x Throughput, Sim-to-Real

Machine Heart

Oct 3, 2026 · Artificial Intelligence

LeaP: Learning Where Robot Action Generation Should Begin

LeaP introduces a learnable source prior conditioned on proprioception that jointly predicts mean and variance of a diagonal Gaussian for initializing generative robot policies, achieving 81.6% average success on 15 RoboTwin tasks (25.5 pp over standard Gaussian) and 80% on real Franka tasks (33.3 pp gain), with faster convergence.

CoRL 2026Flow MatchingGenerative Robot Policies

0 likes · 11 min read

LeaP: Learning Where Robot Action Generation Should Begin

Machine Heart

Sep 27, 2026 · Artificial Intelligence

LIFT: Teaching VLA Models Force Perception via Post-Training Without Force Pretraining

Shanghai Jiao Tong University's LIFT method enables Vision-Language-Action models to learn force perception through post-training alone, achieving significant performance gains on contact-rich tasks with only 20-30 force-labeled demonstrations while preserving pretrained knowledge via weight copying and shifted causal attention.

CoRL 2026LIFTShanghai Jiao Tong University

0 likes · 8 min read

LIFT: Teaching VLA Models Force Perception via Post-Training Without Force Pretraining

Machine Heart

Sep 17, 2026 · Artificial Intelligence

World Synesthesia Model Achieves Robust Dexterous In-Hand Manipulation Under Real-World Perturbations

Sharpa Robotics' World Synesthesia Model (WSM), accepted at CoRL 2026, unifies visual geometry, tactile contact, proprioception, and action history into a reusable world model state, enabling a 22-DoF five-finger hand to achieve robust, generalizable in-hand rotation across unseen objects and real-world perturbations through clean depth supervision and recurrent memory.

CoRL 2026Sim-to-RealWorld Models

0 likes · 12 min read

World Synesthesia Model Achieves Robust Dexterous In-Hand Manipulation Under Real-World Perturbations