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Robotics
2069 directly classified papers
Papers per year
2005: 4
2006: 13
2007: 13
2008: 14
2009: 4
2010: 14
2011: 15
2012: 20
2013: 20
2014: 18
2015: 14
2016: 22
2017: 53
2018: 84
2019: 166
2020: 215
2021: 282
2022: 268
2023: 342
2024: 254
2025: 193
2026: 41
Papers
Learning to Design and Use Tools for Robotic Manipulation
CORL 2023
SCONE: A Food Scooping Robot Learning Framework with Active Perception
CORL 2023
A Policy Optimization Method Towards Optimal-time Stability
CORL 2023
Robot Learning with Sensorimotor Pre-training
CORL 2023
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback
CORL 2023
Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning
CORL 2023
Goal-Conditioned Predictive Coding for Offline Reinforcement Learning
NIPS 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models
ICML 2023
Diff-LfD: Contact-aware Model-based Learning from Visual Demonstration for Robotic Manipulation via Differentiable Physics-based Simulation and Rendering
CORL 2023
Meta-learning Parameterized Skills
ICML 2023
Stabilize to Act: Learning to Coordinate for Bimanual Manipulation
CORL 2023
Hierarchies of Reward Machines
ICML 2023
MoVie: Visual Model-Based Policy Adaptation for View Generalization
NIPS 2023
Towards Disturbance-Free Visual Mobile Manipulation
WACV 2023
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
CORL 2023
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
CORL 2023
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training
CORL 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations
CORL 2023
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
ICML 2023
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks
ICML 2023
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
NIPS 2023
Rewiring Neurons in Non-Stationary Environments
NIPS 2023
On the Utility of Koopman Operator Theory in Learning Dexterous Manipulation Skills
CORL 2023
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
CORL 2023
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences
NIPS 2023
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