Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control

12 November 2015

Papers citing "Towards Vision-Based Deep Reinforcement Learning for Robotic Motion Control"

45 / 45 papers shown

Title
InstructRobot: A Model-Free Framework for Mapping Natural Language Instructions into Robot Motion Iury Cleveston Alana C. Santana P. Costa Ricardo Ribeiro Gudwin A. S. Simões Esther L. Colombini LM&Ro 80 0 0 18 Feb 2025
Imitation Learning with Additional Constraints on Motion Style using Parametric Bias Kento Kawaharazuka Yoichiro Kawamura K. Okada Masayuki Inaba 48 12 0 10 Jul 2024
Machine Learning Meets Advanced Robotic Manipulation Saeid Nahavandi R. Alizadehsani D. Nahavandi Chee Peng Lim Kevin Kelly Fernando Bello 29 17 0 22 Sep 2023
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning Weikang Wan Haoran Geng Yun-Hai Liu Zikang Shan Yaodong Yang Li Yi He Wang 57 94 0 02 Apr 2023
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations Haoran Geng Ziming Li Yiran Geng Jiayi Chen Hao Dong He Wang 3DPC 50 41 0 29 Mar 2023
Machine Beats Machine: Machine Learning Models to Defend Against Adversarial Attacks Jože M. Rožanec Dimitrios Papamartzivanos Entso Veliou T. Anastasiou Jelle Keizer B. Fortuna Dunja Mladenić AAML 24 1 0 28 Sep 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing Yuke Wang Boyuan Feng Ziyi Wang Tong Geng Ang Li Yufei Ding AI4CE 49 0 0 16 Jun 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 45 8 0 02 Apr 2022
An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms Abulikemu Abuduweili Changliu Liu 24 1 0 23 Mar 2022
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control Marco Oliva Soubarna Banik Josip Josifovski Alois Knoll 35 5 0 11 Mar 2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control Ruijie Zhu Lulu Li Shuning Wu Pei Lv Yafai Li Mingliang Xu 28 50 0 08 Mar 2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation Tianying Wang En Yen Puang Marcus Lee Yongpeng Wu Wei Jing SSL 38 5 0 12 Feb 2022
Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots Krishan Rana Vibhavari Dasagi Jesse Haviland Ben Talbot Michael Milford Niko Sünderhauf 32 1 0 10 Dec 2021
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution Omer San Adil Rasheed T. Kvamsdal 50 50 0 26 Mar 2021
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect Athena Sayles Ashish Hooda M. Gupta Rahul Chatterjee Earlence Fernandes AAML 22 76 0 26 Nov 2020
Real-Time Deep Learning Approach to Visual Servo Control and Grasp Detection for Autonomous Robotic Manipulation E. G. Ribeiro R. Q. Mendes V. Grassi 35 56 0 13 Oct 2020
Unseen Object Instance Segmentation for Robotic Environments Christopher Xie Yu Xiang Arsalan Mousavian Dieter Fox 36 132 0 16 Jul 2020
Robotic Arm Control and Task Training through Deep Reinforcement Learning Andrea Franceschetti E. Tosello Nicola Castaman Stefano Ghidoni 15 32 0 06 May 2020
Ultrasound-Guided Robotic Navigation with Deep Reinforcement Learning Hannes Hase Mohammad Farid Azampour M. Tirindelli Magdalini Paschali Walter Simson E. Fatemizadeh Nassir Navab 31 38 0 30 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 35 20 0 29 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 72 63 0 02 Mar 2020
Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization Eivind Bøhn E. M. Coates Signe Moe T. Johansen 20 129 0 13 Nov 2019
Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles -- From Duckietown to RobotX Yi-Wei Huang Tzu-Kuan Chuang Ni-Ching Lin Yu-Chieh Hsiao Pin-Wei Chen ... Sin-Kiat Lim K. Lua Chia-Hung Dylan Tsai Chi-Fang Chen Hsueh-Cheng Wang 23 6 0 31 Oct 2019
Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods Tianhao Chen Limei Cheng Yang Liu Wenchuan Jia Shugen Ma 11 4 0 08 Aug 2019
The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation Christopher Xie Yu Xiang Arsalan Mousavian Dieter Fox 19 92 0 30 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 41 356 0 06 Jul 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain Lei Bu Yuchao Duan Fu Song Zhe Zhao AAML 37 18 0 19 May 2019
Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic Mikael Henaff A. Canziani Yann LeCun OOD 30 122 0 08 Jan 2019
Differentially Private Data Generative Models Qingrong Chen Chong Xiang Minhui Xue Bo Li Nikita Borisov Dali Kaafar Haojin Zhu SyDa AAML 17 79 0 06 Dec 2018
Quantifying the Reality Gap in Robotic Manipulation Tasks J. Collins David Howard Jurgen Leitner 11 45 0 05 Nov 2018
A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull 24 40 0 11 Oct 2018
DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing Xiaofei Xie Lei Ma Felix Juefei Xu Hongxu Chen Minhui Xue Bo Li Yang Liu Jianjun Zhao Jianxiong Yin Simon See 43 40 0 04 Sep 2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal Jake Bruce Niko Sünderhauf Piotr Wojciech Mirowski R. Hadsell Michael Milford 22 35 0 11 Jul 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Composable Deep Reinforcement Learning for Robotic Manipulation Tuomas Haarnoja Vitchyr H. Pong Aurick Zhou Murtaza Dalal Pieter Abbeel Sergey Levine 30 230 0 19 Mar 2018
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James Andrew J. Davison Edward Johns 162 275 0 07 Jul 2017
Cross-Domain Perceptual Reward Functions Ashley D. Edwards Srijan Sood Charles Isbell 27 7 0 25 May 2017
Visual Servoing from Deep Neural Networks Quentin Bateux É. Marchand Jurgen Leitner F. Chaumette Peter Corke BDL 17 39 0 24 May 2017
Design and Development of an automated Robotic Pick & Stow System for an e-Commerce Warehouse S. Kumar A. Majumder S. Dutta R. Raja Sharath Jotawar ... Venkat Raju Olyvia Kundu Ehtesham Hassan K. Venkatesh Rajesh Sinha 20 13 0 07 Mar 2017
Deep Reinforcement Learning for Robotic Manipulation-The state of the art S. Amarjyoti 23 65 0 31 Jan 2017
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
Modular Deep Q Networks for Sim-to-real Transfer of Visuo-motor Policies Fangyi Zhang Jurgen Leitner Michael Milford Peter Corke 34 39 0 21 Oct 2016
Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots L. Tai Ming Liu 21 103 0 06 Oct 2016
3D Simulation for Robot Arm Control with Deep Q-Learning Stephen James Edward Johns 24 108 0 13 Sep 2016
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints Eric Tzeng Coline Devin Judy Hoffman Chelsea Finn Pieter Abbeel Sergey Levine Kate Saenko Trevor Darrell OOD 24 138 0 23 Nov 2015