Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕A Scavenger Hunt for Service Robots
Harel Yedidsion, Jennifer Suriadinata, Zifan Xu +2 more
2021
Model-free Policy Learning with Reward Gradients
Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi +1 more
2021
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing
Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter +4 more
2021
Vision-Based Mobile Robotics Obstacle Avoidance With Deep Reinforcement Learning
Patrick Wenzel, Torsten Schön, Laura Leal-Taixé +1 more
2021
Comparing Popular Simulation Environments in the Scope of Robotics and Reinforcement Learning
Marian Körber, Johann Lange, Stephan Rediske +2 more
2021
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation
Lingtong Kong, Chunhua Shen, Jie Yang
2021
GANav: Efficient Terrain Segmentation for Robot Navigation in Unstructured Outdoor Environments
Tianrui Guan, Divya Kothandaraman, Rohan Chandra +3 more
2021
Passing Through Narrow Gaps with Deep Reinforcement Learning
Brendan Tidd, Akansel Cosgun, Jurgen Leitner +1 more
2021
Learning Collision-free and Torque-limited Robot Trajectories based on Alternative Safe Behaviors
Jonas C. Kiemel, Torsten Kröger
2021
Bayesian Meta-Learning for Few-Shot Policy Adaptation Across Robotic Platforms
Ali Ghadirzadeh, Xi Chen, Petra Poklukar +3 more
2021
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
Hengli Wang, Rui Fan, Yuxiang Sun +1 more
2021
Leading or Following? Dyadic Robot Imitative Interaction Using the Active Inference Framework
Nadine Wirkuttis, Jun Tani
2021
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph
Xin Ye, Yezhou Yang
2021
A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds
Xiao Huang, Hong Qiao, Hui Li +1 more
2021
A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds
Xiao Huang, Hong Qiao, Hui Li +1 more
2021
Learning Symbolic Operators for Task and Motion Planning
Tom Silver, Rohan Chitnis, Joshua Tenenbaum +2 more
2021
ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation
Yu Liu, Fan Yang, Dominique Ginhac
2021
Memory-based Deep Reinforcement Learning for POMDPs
Lingheng Meng, Rob Gorbet, Dana Kulić
2021
Learning to Shift Attention for Motion Generation
You Zhou, Jianfeng Gao, Tamim Asfour
2021
Domain-invariant NBV Planner for Active Cross-domain Self-localization
Kanji Tanaka
2021
MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning
DiJia Su, Jason D. Lee, John M. Mulvey +1 more
2021
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
Hanlin Niu, Ze Ji, Farshad Arvin +3 more
2021
Learning Efficient Navigation in Vortical Flow Fields
Peter Gunnarson, Ioannis Mandralis, Guido Novati +2 more
2021
Decaying Clipping Range in Proximal Policy Optimization
Mónika Farsang, Luca Szegletes
2021