Papers
1,468 papers found
Intention-Aware Motion Planning Using Learning Based Human Motion Prediction
Jae Sung Park, Chonhyon Park, Dinesh Manocha
Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth
Humphrey Hu, George Kantor
Job Selection in a Network of Autonomous UAVs for Delivery of Goods
Pasquale Grippa, Doris Behrens, Christian Bettstetter et al.
Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem
Sehoon Ha, Stelian Coros, Alexander Alspach et al.
Learning Constrained Generalizable Policies by Demonstration
Leopoldo Armesto, Vladimir Ivan, Joao Moura et al.
Learning Feasibility Constraints for Multicontact Locomotion of Legged Robots
Justin Carpentier, Rohan Budhiraja, Nicolas Mansard
Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations
Hadi Ravanbakhsh, Sriram Sankaranarayanan
Learning Models for Shared Control of Human-Machine Systems with Unknown Dynamics
Alexander Broad, Todd Murphey, Brenna Argall
Learning to Reconstruct 3D Structures for Occupancy Mapping
Vitor Guizilini, Fabio Ramos
Model-Based Control Using Koopman Operators
Ian Abraham, Gerardo de la Torre, Todd Murphey
Mode Switch Assistance To Maximize Human Intent Disambiguation
Deepak Edakkattil Gopinath, Brenna Argall
Optimal Shape and Motion Planning for Dynamic Planar Manipulation
Orion Taylor, Alberto Rodriguez
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Wenhao Yu, Jie Tan, C. Karen Liu et al.
Probabilistic Completeness of Randomized Possibility Graphs Applied to Bipedal Walking in Semi-unstructured Environments
Michael Grey, Aaron Ames, C. Karen Liu
Provably Safe Robot Navigation with Obstacle Uncertainty
Brian Axelrod, Leslie Kaelbling, Tomas Lozano-Perez
Reasoning About Liquids via Closed-Loop Simulation
Connor Schenck, Dieter Fox
Relaxed-Rigidity Constraints: In-Grasp Manipulation using Purely Kinematic Trajectory Optimization
Balakumar Sundaralingam, Tucker Hermans
Resolution of Referential Ambiguity in Human-Robot Dialogue Using Dempster-Shafer Theoretic Pragmatics
Tom Williams, Matthias Scheutz
Rich Time Series Classification Using Temporal Logic
Chanyeol Yoo, Calin Belta
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models
Anirudha Majumdar, Sumeet Singh, Ajay Mandlekar et al.
Safe Visual Navigation via Deep Learning and Novelty Detection
Charles Richter, Nicholas Roy
Sample-Based Methods for Factored Task and Motion Planning
Caelan Garrett, Tomas Lozano-Perez, Leslie Kaelbling
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference
Mustafa Mukadam, Jing Dong, Frank Dellaert et al.
Supernumerary Robotic Limbs for Human Augmentation in Overhead Assembly Tasks
Zack Bright, H. Harry Asada
Synthesizing Training Data for Object Detection in Indoor Scenes
Georgios Georgakis, Arsalan Mousavian, Alexander Berg et al.