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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
Expressive Whole-Body Control for Humanoid Robots
RSS 2024
Proto-MPC: An encoder-prototype-decoder approach for quadrotor control in challenging winds
L4DC 2024
Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control
L4DC 2024
Demonstrating Language-Grounded Motion Controller
RSS 2024
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution
CVPR 2024
GenRL: Multimodal-foundation world models for generalization in embodied agents
NIPS 2024
The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning
NIPS 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
NIPS 2024
Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning
RSS 2024
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
AAAI 2024
Learning to stabilize high-dimensional unknown systems using Lyapunov-guided exploration
L4DC 2024
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
AAAI 2024
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
CVPR 2024
Embodied Human Activity Recognition
WACV 2024
Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training
NIPS 2024
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task Robotic Manipulation
CVPR 2024
Sampling-based Safe Reinforcement Learning for Nonlinear Dynamical Systems
AISTATS 2024
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble
EMNLP 2024
MeMo: Meaningful, Modular Controllers via Noise Injection
NIPS 2024
Timing as an Action: Learning When to Observe and Act
AISTATS 2024
E2CL: Exploration-based Error Correction Learning for Embodied Agents
EMNLP 2024
Task Planning for Object Rearrangement in Multi-Room Environments
AAAI 2024
Reinforcement Learning for Athletic Intelligence: Lessons from the 1st “AI Olympics with RealAIGym” Competition
IJCAI 2024
MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning
IJCAI 2024
Learning Safety Constraints from Demonstrations with Unknown Rewards
AISTATS 2024
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