Papers
Cross-Modal Learning Filters for RGB-Neuromorphic Wormhole Learning
Alessandro Zanardi, Andreas Jianhao Aumiller, Julian Zilly et al.
Continuous Direct Sparse Visual Odometry from RGB-D Images
Maani Ghaffari Jadidi, William Clark, Anthony Bloch et al.
A Modular Optimization Framework for Localization and Mapping
Jose Luis Blanco-Claraco
Proximity Queries for Absolutely Continuous Parametric Curves
Arun Lakshmanan, Andrew Patterson, Venanzio Cichella et al.
Predicting Human Interpretations of Affect and Valence in a Social Robot
David McNeill, Casey Kennington
Online Incremental Learning of the Terrain Traversal Cost in Autonomous Exploration
Milos Pragr, Petr Cizek, Jan Bayer et al.
Differentiable Algorithm Networks for Composable Robot Learning
Peter Karkus, Xiao Ma, David Hsu et al.
Teleoperator Imitation with Continuous-Time Safety
Bachir El Khadir, Jacob Varley, Vikas Sindhwani
Robust Singular Smoothers for Tracking Using Low-Fidelity Data
Jonathan Jonker, Aleksandr Aravkin, James Burke et al.
Equivalence of the Projected Forward Dynamics and the Dynamically Consistent Inverse Solution
Joao Moura, Vladimir Ivan, Mustafa Suphi Erden et al.
Robot Packing with Known Items and Nondeterministic Arrival Order
Fan Wang, Kris Hauser
Real-Time Reactive Trip Avoidance for Powered Transfemoral Prostheses
Nitish Thatte, Nandagopal Srinivasan, Hartmut Geyer
An Online Learning Approach to Model Predictive Control
Nolan Wagener, Ching-an Cheng, Jacob Sacks et al.
Impact-Friendly Robust Control Design with Task-Space Quadratic Optimization
Yuquan Wang, Abderrahmane Kheddar
ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst
Mayank Bansal, Alex Krizhevsky, Abhijit Ogale
Robot Adaptation to Unstructured Terrains by Joint Representation and Apprenticeship Learning
Sriram Siva, Maggie Wigness, John G. Rogers: Hao Zhang
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators
Fabio Ramos, Rafael Possas, Dieter Fox
Automated Shapeshifting for Function Recovery in Damaged Robots
Sam Kriegman, Stephanie Walker, Dylan S. Shah et al.
Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup
Devin Schwab, Jost Tobias Springenberg, Murilo Fernandes Martins et al.
Harnessing Reinforcement Learning for Neural Motion Planning
Tom Jurgenson, Aviv Tamar
A 2-Approximation Algorithm for the Online Tethered Coverage Problem
Gokarna Sharma, Pavan Poudel, Ayan Dutta et al.
Learning Reward Functions by Integrating Human Demonstrations and Preferences
Malayandi Palan, Gleb Shevchuk, Nicholas Charles Landolfi et al.
Modeling and Analysis of Non-Unique Behaviors in Multiple Frictional Impacts
Mathew Halm, Michael Posa
A Dynamical System Approach to Motion and Force Generation in Contact Tasks
Walid Amanhoud, Mahdi Khoramshahi, Aude Billard
Unsupervised Visuomotor Control through Distributional Planning Networks
Tianhe Yu, Gleb Shevchuk, Dorsa Sadigh et al.