Wednesday
Table of contents
- A User’s Guide to Calibrating Robotic Simulators
- Accelerating Reinforcement Learning with Learned Skill Priors
- Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
- Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
- Asynchronous Deep Model Reference Adaptive Control
- Auxiliary Tasks Speed Up Learning PointGoal Navigation
- Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability
- CLOUD: Contrastive Learning of Unsupervised Dynamics
- Contrastive Variational Reinforcement Learning for Complex Observations
- Explicitly Encouraging Low Fractional Dimensional Trajectories Via Reinforcement Learning
- Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
- Fast robust peg-in-hole insertion with continuous visual servoing
- Fit2Form: 3D Generative Model for Robot Gripper Form Design
- Generalization Guarantees for Imitation Learning
- Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
- Hierarchical Robot Navigation in Novel Environments using Rough 2-D Maps
- Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
- Learning Arbitrary-Goal Fabric Folding with One Hour of Real Robot Experience
- Learning Interactively to Resolve Ambiguity in Reference Frame Selection
- Learning Object-conditioned Exploration using Distributed Soft Actor Critic
- Learning Predictive Representations for Deformable Objects Using Contrastive Estimation
- Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
- Learning a Decentralized Multi-Arm Motion Planner
- Learning from Demonstrations using Signal Temporal Logic
- Learning rich touch representations through cross-modal self-supervision
- Learning to Communicate and Correct Pose Errors
- MELD: Meta-Reinforcement Learning from Images via Latent State Models
- Model-Based Inverse Reinforcement Learning from Visual Demonstrations
- Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
- MuGNet: Multi-Resolution Graph Neural Network for Segmenting Large-Scale Pointclouds
- Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
- Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections
- Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design
- Never Stop Learning: The Effectiveness of Fine-Tuning in Robotic Reinforcement Learning
- PLAS: Latent Action Space for Offline Reinforcement Learning
- Probably Approximately Correct Vision-Based Planning using Motion Primitives
- Reinforcement Learning with Videos: Combining Offline Observations with Interaction
- Robot Action Selection Learning via Layered Dimension Informed Program Synthesis
- S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
- Self-Supervised Learning of Scene-Graph Representations for Robotic Sequential Manipulation Planning
- Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
- SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
- Sim-to-Real Transfer for Vision-and-Language Navigation
- StrObe: Streaming Object Detection from LiDAR Packets
- TNT: Target-driveN Trajectory Prediction
- Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering
- TartanVO: A Generalizable Learning-based VO
- Tolerance-Guided Policy Learning for Adaptable and Transferrable Delicate Industrial Insertion
- Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control
- Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
- Towards Robotic Assembly by Predicting Robust, Precise and Task-oriented Grasps
- Transformers for One-Shot Visual Imitation
- TriFinger: An Open-Source Robot for Learning Dexterity
- Unsupervised Metric Relocalization Using Transform Consistency Loss
- Visual Imitation Made Easy