Papers
Learning Equality Constraints for Motion Planning on Manifolds
Giovanni Sutanto, Isabel Rayas Fernández, Peter Englert et al.
ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations
Samuel Pfrommer, Mathew Halm, Michael Posa
Learning Predictive Models for Ergonomic Control of Prosthetic Devices
GEOFFEY CLARK, Joseph Campbell, Heni Ben Amor
Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach
Kartik Paigwar, Lokesh Krishna, sashank tirumala et al.
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
Boris Ivanovic, Amine Elhafsi, Guy Rosman et al.
Learning from Demonstrations using Signal Temporal Logic
Aniruddh Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis
Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections
Junha Roh, Christoforos Mavrogiannis, Rishabh Madan et al.
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity
Tanmay Gangwani, Jian Peng, Yuan Zhou
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Feng Gao, Jincheng Yu, Hao Shen et al.
Differentiable Logic Layer for Rule Guided Trajectory Prediction
Xiao Li, Guy Rosman, Igor Gilitschenski et al.
Chaining Behaviors from Data with Model-Free Reinforcement Learning
Avi Singh, Albert Yu, Jonathan Yang et al.
S3CNet: A Sparse Semantic Scene Completion Network for LiDAR Point Clouds
Ran Cheng, Christopher Agia, Yuan Ren et al.
Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
Sean Gillen, Katie Byl
Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
Ryan Julian, Benjamin Swanson, Gaurav Sukhatme et al.
Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning
Son Nguyen, Ozgur Oguz, Valentin Hartmann et al.
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation
Jiexiong Tang, Rares Ambrus, Vitor Guizilini et al.
Transformers for One-Shot Visual Imitation
Sudeep Dasari, Abhinav Gupta
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling
Thomas Lew, Marco Pavone
Learning Vision-based Reactive Policies for Obstacle Avoidance
Elie Aljalbout, Ji Chen, Konstantin Ritt et al.
Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
Boshen Niu, Chenxi Wang, Changliu Liu
Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control
Guangzhi Tang, Neelesh Kumar, Raymond Yoo et al.
DeepMPCVS: Deep Model Predictive Control for Visual Servoing
Pushkal Katara, Harish YVS, Harit Pandya et al.
Visual Imitation Made Easy
Sarah Young, Dhiraj Gandhi, Shubham Tulsiani et al.
Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
Chengguang Xu, Christopher Amato, Lawson Wong
Reactive motion planning with probabilisticsafety guarantees
Yuxiao Chen, Ugo Rosolia, Chuchu Fan et al.