Papers
959 papers found
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion
Kamil Adamczewski, Christos Sakaridis, Vaishakh Patil et al.
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Dhruv Shah, Błażej Osiński, brian ichter et al.
Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning
Tyler Westenbroek, Fernando Castaneda, Ayush Agrawal et al.
Manipulation via Membranes: High-Resolution and Highly Deformable Tactile Sensing and Control
Miquel Oller, Mireia Planas i Lisbona, Dmitry Berenson et al.
Masked World Models for Visual Control
Younggyo Seo, Danijar Hafner, Hao Liu et al.
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
Yann Labbé, Lucas Manuelli, Arsalan Mousavian et al.
Meta-Learning Priors for Safe Bayesian Optimization
Jonas Rothfuss, Christopher Koenig, Alisa Rupenyan et al.
MidasTouch: Monte-Carlo inference over distributions across sliding touch
Sudharshan Suresh, Zilin Si, Stuart Anderson et al.
MIRA: Mental Imagery for Robotic Affordances
Yen-Chen Lin, Pete Florence, Andy Zeng et al.
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation
Yifan Zhou, Shubham Sonawani, Mariano Phielipp et al.
Motion Policy Networks
Adam Fishman, Adithyavairavan Murali, Clemens Eppner et al.
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Parth Kothari, Danya Li, Yuejiang Liu et al.
Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception
Yiming Li, Juexiao Zhang, Dekun Ma et al.
Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration
Mandy Xie, Ankur Handa, Stephen Tyree et al.
NeuralGrasps: Learning Implicit Representations for Grasps of Multiple Robotic Hands
Ninad Khargonkar, Neil Song, Zesheng Xu et al.
Offline Reinforcement Learning at Multiple Frequencies
Kaylee Burns, Tianhe Yu, Chelsea Finn et al.
Offline Reinforcement Learning for Visual Navigation
Dhruv Shah, Arjun Bhorkar, Hrishit Leen et al.
One-Shot Transfer of Affordance Regions? AffCorrs!
Denis Hadjivelichkov, Sicelukwanda Zwane, Lourdes Agapito et al.
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots
Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh
Online Inverse Reinforcement Learning with Learned Observation Model
Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
On-Robot Learning With Equivariant Models
Dian Wang, Mingxi Jia, Xupeng Zhu et al.
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations
Yiwen Qiu, Jialong Wu, Zhangjie Cao et al.
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving
Angad Singh, Omar Makhlouf, Maximilian Igl et al.
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Mohit Shridhar, Lucas Manuelli, Dieter Fox
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee, Ted Xiao, Adrian Li et al.