ICRA 2021 Reading List
My personal post-ICRA 2021 reading list with papers I came across while attending the conference and which I particularly want to read. It is also intended as a resource for my colleagues who did not attend ICRA this year.
This is my personal post-ICRA 2021 reading list with papers I came across while attending the conference and which I particularly want to read. It is also intended as a resource for my colleagues who did not attend ICRA this year.
Most papers will be about task- or motion-level robot learning, but many intersect with other domains as well. If you presented a paper at ICRA you think I would like and it is not on this list, please send me an email and I promise to read it!
Highlighted are papers I read (or attended the presentation) and found especially insightful. This list is subject to change as I read my way through it or add more from the proceedings.
2021
Active Learning of Bayesian Probabilistic Movement Primitives
IEEE Robotics and Automation Letters, Apr 2021
Auto-Tuned Sim-to-Real Transfer
arXiv:2104.07662 [cs], May 2021
Learning Geometric Reasoning and Control for Long-Horizon Tasks from Visual Input
In 2021 IEEE International Conference on Robotics and Automation (ICRA), May 2021
Reactive Task and Motion Planning under Temporal Logic Specifications
arXiv:2103.14464 [cs], Mar 2021
Social-STAGE: Spatio-Temporal Multi-Modal Future Trajectory Forecast
arXiv:2011.04853 [cs], Mar 2021
Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills
arXiv:2010.13766 [cs], May 2021
Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
arXiv:2103.14127 [cs], Mar 2021
Sparsity-Inducing Optimal Control via Differential Dynamic Programming
arXiv:2011.07325 [cs], Mar 2021
Self-Imitation Learning by Planning
arXiv:2103.13834 [cs], Mar 2021
Path Planning for Manipulation using Experience-driven Random Trees
IEEE Robot. Autom. Lett., Apr 2021
End-To-End Semi-supervised Learning for Differentiable Particle Filters
arXiv:2011.05748 [cs, stat], Mar 2021
Representation Matters: Improving Perception and Exploration for Robotics
arXiv:2011.01758 [cs, stat], Mar 2021
Deep Structured Reactive Planning
arXiv:2101.06832 [cs], Apr 2021
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning
IEEE Robot. Autom. Lett., Jul 2021
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning
arXiv:2103.13842 [cs], Mar 2021
Causal Reasoning in Simulation for Structure and Transfer Learning of Robot Manipulation Policies
arXiv:2103.16772 [cs], Mar 2021
LASER: Learning a Latent Action Space for Efficient Reinforcement Learning
arXiv:2103.15793 [cs], Mar 2021
Keep it Simple: Data-efficient Learning for Controlling Complex Systems with Simple Models
arXiv:2102.02493 [cs], Feb 2021
Towards Personalized Explanation of Robot Path Planning via User Feedback
arXiv:2011.00524 [cs], Mar 2021
Coarse-to-Fine Imitation Learning: Robot Manipulation from a Single Demonstration
arXiv:2105.06411 [cs], May 2021
A Weighted Method for Fast Resolution of Strictly Hierarchical Robot Task Specifications Using Exact Penalty Functions
IEEE Robotics and Automation Letters, Apr 2021
Human-robot collaborative object transfer using human motion prediction based on Cartesian pose Dynamic Movement Primitives
arXiv:2104.03155 [cs], Apr 2021
Adversarial Training is Not Ready for Robot Learning
arXiv:2103.08187 [cs], Mar 2021
Distilling a Hierarchical Policy for Planning and Control via Representation and Reinforcement Learning
arXiv:2011.08345 [cs], Apr 2021
2020
Automated acquisition of structured, semantic models of manipulation activities from human VR demonstration
arXiv:2011.13689 [cs], Nov 2020
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
arXiv:2011.03148 [cs], Nov 2020
LaserFlow: Efficient and Probabilistic Object Detection and Motion Forecasting
arXiv:2003.05982 [cs], Oct 2020
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization
arXiv:2011.04282 [cs], Nov 2020
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search
arXiv:2009.13940 [cs], Sep 2020
Leveraging Forward Model Prediction Error for Learning Control
arXiv:2011.03859 [cs], Nov 2020
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
arXiv:2011.01298 [cs], Nov 2020
Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning
arXiv:2011.01734 [cs], Nov 2020
2019
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation Tasks
arXiv:1911.07246 [cs], Nov 2019