Papers
1,468 papers found
Interactive Visual Grounding of Referring Expressions for Human-Robot Interaction
Mohit Shridhar, David Hsu
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta et al.
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
Kuan Fang, Yuke Zhu, Animesh Garg et al.
Lightweight Unsupervised Deep Loop Closure
Nathaniel Merrill, Guoquan Huang
LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics
Sourav Garg, Niko Suenderhauf, Michael Milford
Multi-Objective Analysis of Ridesharing in Automated Mobility-on-Demand
Michal Cap, Javier Alonso-Mora
Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection
Yulun Tian, Kasra Khosoussi, Matthew Giamou et al.
One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning
Tianhe Yu, Chelsea Finn, Sudeep Dasari et al.
Online User Assessment for Minimal Intervention During Task-Based Robotic Assistance
Aleksandra Kalinowska, Kathleen Fitzsimons, Julius Dewald et al.
On the interaction between Autonomous Mobility-on-Demand systems and the power network: models and coordination algorithms
Federico Rossi, Ramon Iglesias, Mahnoosh Alizadeh et al.
Optimal Solution of the Generalized Dubins Interval Problem
Petr Váňa, Jan Faigl
Passive Static Equilibrium with Frictional Contacts and Application to Grasp Stability Analysis
Maximilian Haas-Heger, Christos Papadimitriou, Mihalis Yannakakis et al.
Plug-and-Play Supervisory Control Using Muscle and Brain Signals for Real-Time Gesture and Error Detection
Joseph DelPreto, Andres F. Salazar-Gomez, Stephanie Gil et al.
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan et al.
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
Jaime Fisac, Andrea Bajcsy, Sylvia Herbert et al.
Push-Net: Deep Planar Pushing for Objects with Unknown Physical Properties
Juekun Li, Wee Sun Lee, David Hsu
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
Yuke Zhu, Ziyu Wang, Josh Merel et al.
RelaxedIK: Real-time Synthesis of Accurate and Feasible Robot Arm Motion
Daniel Rakita, Bilge Mutlu, Michael Gleicher
Robust Obstacle Avoidance using Tube NMPC
Gowtham Garimella, Matthew Sheckells, Joseph Moore et al.
Robust Sampling Based Model Predictive Control with Sparse Objective Information
Grady Williams, Brian Goldfain, Paul Drews et al.
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies
Lucas Janson, Tommy Hu, Marco Pavone
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees
Lucas Liebenwein, Cenk Baykal, Igor Gilitschenski et al.
SegMap: 3D Segment Mapping using Data-Driven Descriptors
Renaud Dubé, Andrei Cramariuc, Daniel Dugas et al.
Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications
Nakul Gopalan, Dilip Arumugam, Lawson Wong et al.
Shared Autonomy via Deep Reinforcement Learning
Siddharth Reddy, Anca Dragan, Sergey Levine