Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,574)
Clear ✕mt5se: An Open Source Framework for Building Autonomous Trading Robots
Paulo André Lima de Castro
2021
Shielding Atari Games with Bounded Prescience
Mirco Giacobbe, Mohammadhosein Hasanbeig, Daniel Kroening +1 more
2021
Natural Language Specification of Reinforcement Learning Policies through Differentiable Decision Trees
Pradyumna Tambwekar, Andrew Silva, Nakul Gopalan +1 more
2021
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints
Linjun Li, Yinglong Miao, Ahmed H. Qureshi +1 more
2021
Shape Back-Projection In 3D Scenes
Ashish Kumar, L. Behera
2021
Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks
Patrick Brandao, Odysseas Zisimopoulos, Evangelos Mazomenos +9 more
2021
Affordance-based Reinforcement Learning for Urban Driving
Tanmay Agarwal, Hitesh Arora, Jeff Schneider
2021
Cross-Modal Contrastive Learning of Representations for Navigation using Lightweight, Low-Cost Millimeter Wave Radar for Adverse Environmental Conditions
Jui-Te Huang, Chen-Lung Lu, Po-Kai Chang +5 more
2021
Average-Reward Off-Policy Policy Evaluation with Function Approximation
Shangtong Zhang, Yi Wan, Richard S. Sutton +1 more
2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
Austin Stone, Oscar Ramirez, Kurt Konolige +1 more
2021
CoachNet: An Adversarial Sampling Approach for Reinforcement Learning
Elmira Amirloo Abolfathi, Jun Luo, Peyman Yadmellat +1 more
2021
Shallow-UWnet : Compressed Model for Underwater Image Enhancement
Ankita Naik, Apurva Swarnakar, Kartik Mittal
2021
Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers
Michael Everett, Golnaz Habibi, Jonathan P. How
2021
Model-Based Visual Planning with Self-Supervised Functional Distances
Stephen Tian, Suraj Nair, Frederik Ebert +4 more
2020
Object sorting using faster R-CNN
Pengchang Chen, Vinayak Elangovan
2020
FPCC: Fast Point Cloud Clustering based Instance Segmentation for Industrial Bin-picking
Yajun Xu, Shogo Arai, Diyi Liu +2 more
2020
Multi-Principal Assistance Games: Definition and Collegial Mechanisms
Arnaud Fickinger, Simon Zhuang, Andrew Critch +2 more
2020
Multi-Instance Aware Localization for End-to-End Imitation Learning
Sagar Gubbi Venkatesh, Raviteja Upadrashta, Shishir Kolathaya +1 more
2020
One-Shot Object Localization Using Learnt Visual Cues via Siamese Networks
Sagar Gubbi Venkatesh, Bharadwaj Amrutur
2020
Teaching Robots Novel Objects by Pointing at Them
Sagar Gubbi Venkatesh, Raviteja Upadrashta, Shishir Kolathaya +1 more
2020
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal, Matthew Riemer, Irina Rish +1 more
2020
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Yonggan Fu, Zhongzhi Yu, Yongan Zhang +1 more
2020
Learning a Group-Aware Policy for Robot Navigation
Kapil Katyal, Yuxiang Gao, Jared Markowitz +4 more
2020
High-Speed Robot Navigation using Predicted Occupancy Maps
Kapil D. Katyal, Adam Polevoy, Joseph Moore +2 more
2020