Papers
959 papers found
Learning Certified Control Using Contraction Metric
Dawei Sun, Susmit Jha, Chuchu Fan
Learning Dexterous Manipulation from Suboptimal Experts
Rae Jeong, Jost Tobias Springenberg, Jackie Kay et al.
Learning Equality Constraints for Motion Planning on Manifolds
Giovanni Sutanto, Isabel Rayas Fernández, Peter Englert et al.
Learning from Demonstrations using Signal Temporal Logic
Aniruddh Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
Letian Chen, Rohan Paleja, Matthew Gombolay
Learning hierarchical relationships for object-goal navigation
Anwesan Pal, Yiding Qiu, Henrik Christensen
Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations
Kevin Chen, Nithin Shrivatsav Srikanth, David Kent et al.
Learning Hybrid Control Barrier Functions from Data
Lars Lindemann, Haimin Hu, Alexander Robey et al.
Learning Interactively to Resolve Ambiguity in Reference Frame Selection
Giovanni Franzese, Carlos Celemin, Jens Kober
Learning Latent Representations to Influence Multi-Agent Interaction
Annie Xie, Dylan Losey, Ryan Tolsma et al.
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
Ayzaan Wahid, Austin Stone, Kevin Chen et al.
Learning Object Manipulation Skills via Approximate State Estimation from Real Videos
Vladimír Petrík, Makarand Tapaswi, Ivan Laptev et al.
Learning Obstacle Representations for Neural Motion Planning
Robin STRUDEL, Ricardo Garcia Pinel, Justin Carpentier et al.
Learning Predictive Models for Ergonomic Control of Prosthetic Devices
GEOFFEY CLARK, Joseph Campbell, Heni Ben Amor
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
Wilson Yan, Ashwin Vangipuram, Pieter Abbeel et al.
Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
Yu Xiang, Christopher Xie, Arsalan Mousavian et al.
Learning rich touch representations through cross-modal self-supervision
Martina Zambelli, Yusuf Aytar, Francesco Visin et al.
Learning Stability Certificates from Data
Nicholas Boffi, Stephen Tu, Nikolai Matni et al.
Learning to Communicate and Correct Pose Errors
Nicholas Vadivelu, Mengye Ren, James Tu et al.
Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation
Mohit Sharma, Jacky Liang, Jialiang Zhao et al.
Learning to Improve Multi-Robot Hallway Navigation
Jin Soo Park, Brian Tsang, Harel Yedidsion et al.
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha, Peng Xu, Zhenyu Tan et al.
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
Le Chen, Yunke Ao, Florian Tschopp et al.
Learning Vision-based Reactive Policies for Obstacle Avoidance
Elie Aljalbout, Ji Chen, Konstantin Ritt et al.
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion
Meet Shah, Zhiling Huang, Ankit Laddha et al.