Papers
959 papers found
Neural Posterior Domain Randomization
Fabio Muratore, Theo Gruner, Florian Wiese et al.
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning
Kaichun Mo, Yuzhe Qin, Fanbo Xiang et al.
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations
Ruohan Gao, Yen-Yu Chang, Shivani Mall et al.
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
Seunghyun Lee, Younggyo Seo, Kimin Lee et al.
Orientation Probabilistic Movement Primitives on Riemannian Manifolds
Leonel Rozo, Vedant Dave
Parallelised Diffeomorphic Sampling-based Motion Planning
Tin Lai, Weiming Zhi, Tucker Hermans et al.
Predicting Stable Configurations for Semantic Placement of Novel Objects
Chris Paxton, Chris Xie, Tucker Hermans et al.
Probabilistic and Geometric Depth: Detecting Objects in Perspective
Tai Wang, Xinge ZHU, Jiangmiao Pang et al.
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart et al.
Redundancy Resolution as Action Bias in Policy Search for Robotic Manipulation
Firas Al-Hafez, Jochen J. Steil
ReSkin: versatile, replaceable, lasting tactile skins
Raunaq Bhirangi, Tess Hellebrekers, Carmel Majidi et al.
RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
Chris Xie, Arsalan Mousavian, Yu Xiang et al.
Risk-Averse Zero-Order Trajectory Optimization
Marin Vlastelica, Sebastian Blaes, Cristina Pinneri et al.
RoboFlow: a Data-centric Workflow Management System for Developing AI-enhanced Robots
Qinjie Lin, Guo Ye, Jiayi Wang et al.
Robot Reinforcement Learning on the Constraint Manifold
Puze Liu, Davide Tateo, Haitham Bou Ammar et al.
Robots on Demand: A Democratized Robotics Research Cloud
Victoria Dean, Yonadav G Shavit, Abhinav Gupta
RoCUS: Robot Controller Understanding via Sampling
Yilun Zhou, Serena Booth, Nadia Figueroa et al.
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning
Sean J Wang, Samuel Triest, Wenshan Wang et al.
S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics
Samarth Sinha, Ajay Mandlekar, Animesh Garg
Safe Driving via Expert Guided Policy Optimization
Zhenghao Peng, Quanyi Li, Chunxiao Liu et al.
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions
Charles Dawson, Zengyi Qin, Sicun Gao et al.
Scaling Up Multi-Task Robotic Reinforcement Learning
Dmitry Kalashnikov, Jake Varley, Yevgen Chebotar et al.
SCAPE: Learning Stiffness Control from Augmented Position Control Experiences
Mincheol Kim, Scott Niekum, Ashish D. Deshpande
Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects
Haoping Xu, Yi Ru Wang, Sagi Eppel et al.
Self-Improving Semantic Perception for Indoor Localisation
Hermann Blum, Francesco Milano, René Zurbrügg et al.