Papers
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
Anthony Simeonov, Yilun Du, Beomjoon Kim et al.
Learning Hierarchical Task Networks with Preferences from Unannotated Demonstrations
Kevin Chen, Nithin Shrivatsav Srikanth, David Kent et al.
Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping
Adithyavairavan Murali, Weiyu Liu, Kenneth Marino et al.
Learning Certified Control Using Contraction Metric
Dawei Sun, Susmit Jha, Chuchu Fan
Learning an Expert Skill-Space for Replanning Dynamic Quadruped Locomotion over Obstacles
David Surovik, Oliwier Melon, Mathieu Geisert et al.
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
William Agnew, Christopher Xie, Aaron Walsman et al.
Policy learning in SE(3) action spaces
Dian Wang, Colin Kohler, Robert Platt
Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
Jarrett Holtz, Arjun Guha, Joydeep Biswas
Generative adversarial training of product of policies for robust and adaptive movement primitives
Emmanuel Pignat, Hakan Girgin, Sylvain Calinon
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary et al.
Generalization Guarantees for Imitation Learning
Allen Ren, Sushant Veer, Anirudha Majumdar
Learning rich touch representations through cross-modal self-supervision
Martina Zambelli, Yusuf Aytar, Francesco Visin et al.
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning
Jan Blumenkamp, Amanda Prorok
The RobotSlang Benchmark: Dialog-guided Robot Localization and Navigation
Shurjo Banerjee, Jesse Thomason, Jason Corso
Map-Adaptive Goal-Based Trajectory Prediction
Lingyao Zhang, Po-Hsun Su, Jerrick Hoang et al.
Learning Hybrid Control Barrier Functions from Data
Lars Lindemann, Haimin Hu, Alexander Robey et al.
Learning Stability Certificates from Data
Nicholas Boffi, Stephen Tu, Nikolai Matni et al.
A User’s Guide to Calibrating Robotic Simulators
Bhairav Mehta, Ankur Handa, Dieter Fox 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 Interactively to Resolve Ambiguity in Reference Frame Selection
Giovanni Franzese, Carlos Celemin, Jens Kober
Stein Variational Model Predictive Control
Alexander Lambert, Fabio Ramos, Byron Boots et al.
Learning from Suboptimal Demonstration via Self-Supervised Reward Regression
Letian Chen, Rohan Paleja, Matthew Gombolay
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Zihao Zhao, Anusha Nagabandi, Kate Rakelly et al.
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
Wout Boerdijk, Martin Sundermeyer, Maximilian Durner et al.