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 ✕Conv1D Energy-Aware Path Planner for Mobile Robots in Unstructured Environments
Marco Visca, Arthur Bouton, Roger Powell +2 more
2021
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation
Alessandra Lumini, Loris Nanni, Gianluca Maguolo
2021
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
Juliano Pinto, Georg Hess, William Ljungbergh +3 more
2021
Residual Model Learning for Microrobot Control
Joshua Gruenstein, Tao Chen, Neel Doshi +1 more
2021
Optimization Algorithm for Feedback and Feedforward Policies towards Robot Control Robust to Sensing Failures
Taisuke Kobayashi, Kenta Yoshizawa
2021
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
Philip Matthias Winter, Sebastian Eder, Johannes Weissenböck +5 more
2021
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding
Shengheng Deng, Xun Xu, Chaozheng Wu +2 more
2021
A Bayesian Approach to Identifying Representational Errors
Ramya Ramakrishnan, Vaibhav Unhelkar, Ece Kamar +1 more
2021
Weakly-Supervised Domain Adaptation of Deep Regression Trackers via Reinforced Knowledge Distillation
Matteo Dunnhofer, Niki Martinel, Christian Micheloni
2021
Composable Learning with Sparse Kernel Representations
Ekaterina Tolstaya, Ethan Stump, Alec Koppel +1 more
2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow
John McLeod, Hrvoje Stojic, Vincent Adam +4 more
2021
Self-Imitation Learning by Planning
Sha Luo, Hamidreza Kasaei, Lambert Schomaker
2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
Iretiayo Akinola, Zizhao Wang, Peter Allen
2021
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
Ali Ayub, Alan R. Wagner
2021
Improving Actor-Critic Reinforcement Learning via Hamiltonian Monte Carlo Method
Duo Xu, Faramarz Fekri
2021
IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning
Wei Zhang, Yunfeng Zhang, Ning Liu +2 more
2021
High precision control and deep learning-based corn stand counting algorithms for agricultural robot
Zhongzhong Zhang, Erkan Kayacan, Benjamin Thompson +1 more
2021
CoordiNet: uncertainty-aware pose regressor for reliable vehicle localization
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou +2 more
2021
Near Optimal Policy Optimization via REPS
Aldo Pacchiano, Jonathan Lee, Peter Bartlett +1 more
2021
In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning
Kanata Suzuki, Momomi Kanamura, Yuki Suga +2 more
2021
A Large-Scale Dataset for Benchmarking Elevator Button Segmentation and Character Recognition
Jianbang Liu, Yuqi Fang, Delong Zhu +3 more
2021
Autonomous Drone Racing with Deep Reinforcement Learning
Yunlong Song, Mats Steinweg, Elia Kaufmann +1 more
2021
Adversarial Training is Not Ready for Robot Learning
Mathias Lechner, Ramin Hasani, Radu Grosu +2 more
2021
Success Weighted by Completion Time: A Dynamics-Aware Evaluation Criteria for Embodied Navigation
Naoki Yokoyama, Sehoon Ha, Dhruv Batra
2021