Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,549)
Clear ✕Diagonal recurrent neural network based adaptive control of nonlinear dynamical systems using lyapunov stability criterion
Rajesh Kumar, Smriti Srivastava, J. R. P. Gupta
2017
Expert Level Control of Ramp Metering Based on Multi-Task Deep Reinforcement Learning
Francois Belletti, Daniel Haziza, Gabriel Gomes +1 more
2017
A comparative study of soft computing methods to solve inverse kinematics problem
Ahmed Elsherbiny, Mostafa A. Elhosseini, Amira Y. Haikal
2017
Socially aware motion planning with deep reinforcement learning
Yu Fan Chen, Michael Everett, Miao Liu +1 more
2017
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
Wei-Chiu Ma, De-An Huang, Namhoon Lee +1 more
2017
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony, David Barber
2017
Robust adaptive neural network-based trajectory tracking control approach for nonholonomic electrically driven mobile robots
Mohamed Boukens, Abdelkrim Boukabou, Mohammed Chadli
2017
Improving the Critic Learning for Event-Based Nonlinear $H_{\infty }$ Control Design
Ding Wang, Haibo He, Derong Liu
2017
Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System
Moritz B. Milde, Hermann Blum, Alexander Dietmüller +4 more
2017
Time-Contrastive Networks: Self-Supervised Learning from Multi-view Observation
Pierre Sermanet, Corey Lynch, Jasmine Hsu +1 more
2017
Delving deeper into convolutional neural networks for camera relocalization
Jian Wu, Liwei Ma, Xiaolin Hu
2017
CAD2RL: Real Single-Image Flight Without a Single Real Image
Fereshteh Sadeghi, Sergey Levine
2017
Atmospheric correction over coastal waters using multilayer neural networks
Yongzhen Fan, Wei Li, Charles K. Gatebe +4 more
2017
Weakly Supervised Affordance Detection
Johann Sawatzky, Abhilash Srikantha, Jüergen Gall
2017
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage +1 more
2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential\n Prediction
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon +2 more
2017
Virtual-to-real deep reinforcement learning: Continuous control of mobile robots for mapless navigation
Giuseppe Paolo, Ming Liu
2017
Adaptive Neural Network-Based Tracking Control for Full-State Constrained Wheeled Mobile Robotic System
Liang Ding, Shu Li, Yan‐Jun Liu +3 more
2017
Deep regression for monocular camera-based 6-DoF global localization in outdoor environments
Tayyab Naseer, Wolfram Burgard
2017
Hindsight Experience Replay
Marcin Andrychowicz, Filip Wolski, Alex Ray +7 more
2017
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization
Alonso Marco, Felix Berkenkamp, Philipp Hennig +4 more
2017
Target-driven visual navigation in indoor scenes using deep reinforcement learning
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve +4 more
2017
Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform
Egidio Falotico, Lorenzo Vannucci, Alessandro Ambrosano +17 more
2017
Temporal Convolutional Networks for Action Segmentation and Detection
Colin Lea, M. D. Flynn, Renè Vidal +2 more
2017