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Robotics

920 directly classified papers

Papers per year

Papers

Continual Learning in an Open and Dynamic World AAAI 2024

Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking NIPS 2024

EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models CVPR 2024

Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting NIPS 2024

MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation NIPS 2024

LINGO-Space: Language-Conditioned Incremental Grounding for Space AAAI 2024

SurgicAI: A Hierarchical Platform for Fine-Grained Surgical Policy Learning and Benchmarking NIPS 2024

Periodic agent-state based Q-learning for POMDPs NIPS 2024

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System AAAI 2024

Learning World Models for Unconstrained Goal Navigation NIPS 2024

DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution NIPS 2024

Text-Aware Diffusion for Policy Learning NIPS 2024

Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos NIPS 2024

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning AAAI 2024

LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble EMNLP 2024

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control NIPS 2024

Solving Minimum-Cost Reach Avoid using Reinforcement Learning NIPS 2024

Grounding Multimodal Large Language Models in Actions NIPS 2024

Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn NIPS 2024

Policy-shaped prediction: avoiding distractions in model-based reinforcement learning NIPS 2024

The Power of Resets in Online Reinforcement Learning NIPS 2024

Authentic Hand Avatar from a Phone Scan via Universal Hand Model CVPR 2024

MOPA: Modular Object Navigation With PointGoal Agents WACV 2024

GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation NIPS 2024

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks AAAI 2024