Papers
Deep Reactive Planning in Dynamic Environments
Kei Ota, Devesh Jha, Tadashi Onishi et al.
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Neha Das, Sarah Bechtle, Todor Davchev et al.
BayesRace: Learning to race autonomously using prior experience
Achin Jain, Matthew O’Kelly, Pratik Chaudhari et al.
Unsupervised Monocular Depth Learning in Dynamic Scenes
Hanhan Li, Ariel Gordon, Hang Zhao et al.
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing
Mete Akbulut, Erhan Oztop, Muhammet Yunus Seker et al.
Learning to Improve Multi-Robot Hallway Navigation
Jin Soo Park, Brian Tsang, Harel Yedidsion et al.
TriFinger: An Open-Source Robot for Learning Dexterity
Manuel Wuthrich, Felix Widmaier, Felix Grimminger et al.
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
Wilko Schwarting, Tim Seyde, Igor Gilitschenski et al.
Few-shot Object Grounding and Mapping for Natural Language Robot Instruction Following
Valts Blukis, Ross Knepper, Yoav Artzi
Multiagent Rollout and Policy Iteration for POMDP with Application to Multi-Robot Repair Problems
Sushmita Bhattacharya, Siva Kailas, Sahil Badyal et al.
Diverse Plausible Shape Completions from Ambiguous Depth Images
Bradley Saund, Dmitry Berenson
Safe Optimal Control Using Stochastic Barrier Functions and Deep Forward-Backward SDEs
Marcus Pereira, Ziyi Wang, Ioannis Exarchos et al.
Soft Multicopter Control Using Neural Dynamics Identification
Yitong Deng, Yaorui Zhang, Xingzhe He et al.
TartanVO: A Generalizable Learning-based VO
Wenshan Wang, Yaoyu Hu, Sebastian Scherer
MultiPoint: Cross-spectral registration of thermal and optical aerial imagery
Florian Achermann, Andrey Kolobov, Debadeepta Dey et al.
Unsupervised Metric Relocalization Using Transform Consistency Loss
Mike Kasper, Fernando Nobre, Christoffer Heckman et al.
PLAS: Latent Action Space for Offline Reinforcement Learning
Wenxuan Zhou, Sujay Bajracharya, David Held
Learning a natural-language to LTL executable semantic parser for grounded robotics
Christopher Wang, Candace Ross, Yen-Ling Kuo et al.
Fast robust peg-in-hole insertion with continuous visual servoing
Rasmus Haugaard, Jeppe Langaa, Christoffer Sloth et al.
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
Ayzaan Wahid, Austin Stone, Kevin Chen et al.
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai et al.
Time-Bounded Mission Planning in Time-Varying Domains with Semi-MDPs and Gaussian Processes
Paul Duckworth, Bruno Lacerda, Nick Hawes
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
Hai Nguyen, Brett Daley, Xinchao Song et al.
Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations
Glen Chou, Dmitry Berenson, Necmiye Ozay
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter
Michel Breyer, Jen Jen Chung, Lionel Ott et al.