Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LOCOMOTION papers(1,239)
Clear ✕Weak Human Preference Supervision For Deep Reinforcement Learning
Zehong Cao, KaiChiu Wong, Chin-Teng Lin
2020
Estimation of Ground Contacts from Human Gait by a Wearable Inertial Measurement Unit using machine learning
Muhammad Junaid Umer, Qaiser Riaz
2020
Decentralized Deep Reinforcement Learning for a Distributed and Adaptive Locomotion Controller of a Hexapod Robot
Malte Schilling, Kai Konen, Frank W. Ohl +1 more
2020
An Experiment in Morphological Development for Learning ANN Based Controllers
M. Naya-Varela, A. Faina, R. J. Duro
2020
Scaling MAP-Elites to Deep Neuroevolution
Cédric Colas, Joost Huizinga, Vashisht Madhavan +1 more
2020
ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation
Venkatraman Narayanan, Bala Murali Manoghar, Vishnu Sashank Dorbala +2 more
2020
PPMC RL Training Algorithm: Rough Terrain Intelligent Robots through Reinforcement Learning
Tamir Blum, Kazuya Yoshida
2020
Learning to Walk in the Real World with Minimal Human Effort
Sehoon Ha, Peng Xu, Zhenyu Tan +2 more
2020
A Single RGB Camera Based Gait Analysis with a Mobile Tele-Robot for Healthcare
Ziyang Wang
2020
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies
Gongjin Lan, Matteo De Carlo, Fuda van Diggelen +3 more
2020
Spatiotemporal Camera-LiDAR Calibration: A Targetless and Structureless Approach
Chanoh Park, Peyman Moghadam, Soohwan Kim +2 more
2020
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
Glen Berseth, Daniel Geng, Coline Devin +4 more
2019
Inferring the Optimal Policy using Markov Chain Monte Carlo
Brandon Trabucco, Albert Qu, Simon Li +1 more
2019
Learning Humanoid Robot Running Skills through Proximal Policy Optimization
Luckeciano C. Melo, Marcos R. O. A. Maximo
2019
Policies Modulating Trajectory Generators
Atil Iscen, Ken Caluwaerts, Jie Tan +4 more
2019
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots
Shresth Verma, Haritha S. Nair, Gaurav Agarwal +2 more
2019
Augmenting learning using symmetry in a biologically-inspired domain
Shruti Mishra, Abbas Abdolmaleki, Arthur Guez +2 more
2019
Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation
Xinlei Pan, Tingnan Zhang, Brian Ichter +3 more
2019
Deep Learned Path Planning via Randomized Reward-Linked-Goals and Potential Space Applications
Tamir Blum, William Jones, Kazuya Yoshida
2019
Generalization in Transfer Learning
Suzan Ece Ada, Emre Ugur, H. Levent Akin
2019
Autonomous, Monocular, Vision-Based Snake Robot Navigation and Traversal of Cluttered Environments using Rectilinear Gait Motion
Alexander H. Chang, Shiyu Feng, Yipu Zhao +2 more
2019
Data Efficient Reinforcement Learning for Legged Robots
Yuxiang Yang, Ken Caluwaerts, Atil Iscen +3 more
2019
Automated shapeshifting for function recovery in damaged robots
Sam Kriegman, Stephanie Walker, Dylan Shah +3 more
2019
Hierarchical Reinforcement Learning for Quadruped Locomotion
Deepali Jain, Atil Iscen, Ken Caluwaerts
2019