Robotics
2,420 papers
Papers per year
4
13
13
14
4
14
15
20
20
18
14
22
53
99
176
229
289
276
360
380
335
52
'5
'10
'15
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'25
Papers
Adaptation Augmented Model-based Policy Optimization
JMLR 2023
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners
ICML 2023
Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics
ICML 2023
Adaptive Online Replanning with Diffusion Models
NeurIPS 2023
Adaptive Tracking Control of Dielectric Elastomer Soft Actuators with Viscoelastic Hysteresis Compensation
RSS 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer
CoRL 2023
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots
CoRL 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing
NeurIPS 2023
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept
AAAI 2023
Affordances From Human Videos as a Versatile Representation for Robotics
CVPR 2023
A Game of Bundle Adjustment - Learning Efficient Convergence
ICCV 2023
Agile Catching with Whole-Body MPC and Blackbox Policy Learning
L4DC 2023
A Low Latency Adaptive Coding Spike Framework for Deep Reinforcement Learning
IJCAI 2023
A Machine with Short-Term, Episodic, and Semantic Memory Systems
AAAI 2023
A New Path: Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning
CVPR 2023
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
ICML 2023
AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System
RSS 2023
A Partially-Supervised Reinforcement Learning Framework for Visual Active Search
NeurIPS 2023
A Policy Optimization Method Towards Optimal-time Stability
CoRL 2023
Arbitrarily Scalable Environment Generators via Neural Cellular Automata
NeurIPS 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis
ICML 2023
A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control
L4DC 2023
ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic 3D Scenes
ICCV 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
ICML 2023
A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning
NeurIPS 2023