Papers
Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions
Giorgos Mamakoukas, Malcolm MacIver, Todd Murphey
Discovering Action Primitive Granularity from Human Motion for Human-Robot Collaboration
Elena Corina Grigore, Brian Scassellati
Safe Visual Navigation via Deep Learning and Novelty Detection
Charles Richter, Nicholas Roy
Comprehensive Theory of Differential Kinematics and Dynamics for Motion Optimization
Ko Ayusawa, Eiichi Yoshida
Supernumerary Robotic Limbs for Human Augmentation in Overhead Assembly Tasks
Zack Bright, H. Harry Asada
Efficient Equilibrium Testing under Adhesion and Anisotropy using Empirical Contact Force Models
Kris Hauser, Shiquan Wang, Mark Cutkosky
Rich Time Series Classification Using Temporal Logic
Chanyeol Yoo, Calin Belta
Enabling Robots to Communicate Their Objectives
Sandy Huang, David Held, Pieter Abbeel et al.
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz et al.
DIRTREL: Robust Trajectory Optimization with Ellipsoidal Disturbances and LQR Feedback
Zachary Manchester, Scott Kuindersma
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities
Dilip Arumugam, Siddharth Karamcheti, Nakul Gopalan et al.
Optimal Shape and Motion Planning for Dynamic Planar Manipulation
Orion Taylor, Alberto Rodriguez
Trajectory Optimization for Self-Calibration and Navigation
James Preiss, Karol Hausman, Gaurav Sukhatme et al.
Active Preference-Based Learning of Reward Functions
Dorsa Sadigh, Anca Dragan, Shankar Sastry et al.
Model-Based Control Using Koopman Operators
Ian Abraham, Gerardo de la Torre, Todd Murphey
High-Quality Tabletop Rearrangement with Overhand Grasps: Hardness Results and Fast Methods
Shuai Han, Nicholas Stiffler, Athanasios Krontiris et al.
Unsupervised Perceptual Rewards for Imitation Learning
Pierre Sermanet, Kelvin Xu, Sergey Levine
Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations
Hadi Ravanbakhsh, Sriram Sankaranarayanan
Preparing for the Unknown: Learning a Universal Policy with Online System Identification
Wenhao Yu, Jie Tan, C. Karen Liu et al.
Analysis of Rigid Extended Object Co-Manipulation by Human Dyads: Lateral Movement Characterization
Erich Mielke, Eric Townsend, Marc Killpack
Mode Switch Assistance To Maximize Human Intent Disambiguation
Deepak Edakkattil Gopinath, Brenna Argall
Intention-Aware Motion Planning Using Learning Based Human Motion Prediction
Jae Sung Park, Chonhyon Park, Dinesh Manocha
Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations
Siddharth Mayya, Pietro Pierpaoli, Girish Nair et al.
Synthesizing Training Data for Object Detection in Indoor Scenes
Georgios Georgakis, Arsalan Mousavian, Alexander Berg et al.
Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion
Diego Pardo, Michael Neunert, Alexander Winkler et al.