Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LOCOMOTION papers(1,239)
Clear ✕Seeing-Eye Quadruped Navigation with Force Responsive Locomotion Control
David DeFazio, Eisuke Hirota, Shiqi Zhang
2023
Proprioceptive External Torque Learning for Floating Base Robot and its Applications to Humanoid Locomotion
Daegyu Lim, Myeong-Ju Kim, Junhyeok Cha +2 more
2023
Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models
Pierre Schumacher, Thomas Geijtenbeek, Vittorio Caggiano +4 more
2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation
Satoshi Yamamori, Jun Morimoto
2023
Learning Vision-based Pursuit-Evasion Robot Policies
Andrea Bajcsy, Antonio Loquercio, Ashish Kumar +1 more
2023
Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
Lei Han, Qingxu Zhu, Jiapeng Sheng +16 more
2023
Not Only Rewards But Also Constraints: Applications on Legged Robot Locomotion
Yunho Kim, Hyunsik Oh, Jeonghyun Lee +5 more
2023
Regularizing Adversarial Imitation Learning Using Causal Invariance
Ivan Ovinnikov, Joachim M. Buhmann
2023
Controlling the Solo12 Quadruped Robot with Deep Reinforcement Learning
Michel Aractingi, Pierre-Alexandre Léziart, Thomas Flayols +3 more
2023
Discovering Adaptable Symbolic Algorithms from Scratch
Stephen Kelly, Daniel S. Park, Xingyou Song +8 more
2023
End-to-End Reinforcement Learning for Torque Based Variable Height Hopping
Raghav Soni, Daniel Harnack, Hannah Isermann +3 more
2023
Gait Cycle-Inspired Learning Strategy for Continuous Prediction of Knee Joint Trajectory from sEMG
Xueming Fu, Hao Zheng, Luyan Liu +9 more
2023
Offline Diversity Maximization Under Imitation Constraints
Marin Vlastelica, Jin Cheng, Georg Martius +1 more
2023
Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom +1 more
2023
RAYEN: Imposition of Hard Convex Constraints on Neural Networks
Jesus Tordesillas, Victor Klemm, Jonathan P. How +1 more
2023
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models
Tyler Westenbroek, Jacob Levy, David Fridovich-Keil
2023
Combining model-predictive control and predictive reinforcement learning for stable quadrupedal robot locomotion
Vyacheslav Kovalev, Anna Shkromada, Henni Ouerdane +1 more
2023
Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
Suzan Ece Ada, Erhan Oztop, Emre Ugur
2023
Decentralized Motor Skill Learning for Complex Robotic Systems
Yanjiang Guo, Zheyuan Jiang, Yen-Jen Wang +2 more
2023
Identifying Important Sensory Feedback for Learning Locomotion Skills
Wanming Yu, Chuanyu Yang, Christopher McGreavy +5 more
2023
Provably Convergent Policy Optimization via Metric-aware Trust Region Methods
Jun Song, Niao He, Lijun Ding +1 more
2023
Expanding Versatility of Agile Locomotion through Policy Transitions Using Latent State Representation
Guilherme Christmann, Ying-Sheng Luo, Jonathan Hans Soeseno +1 more
2023
DeepTransition: Viability Leads to the Emergence of Gait Transitions in Learning Anticipatory Quadrupedal Locomotion Skills
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
2023
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
Daniel Widmer, Dongho Kang, Bhavya Sukhija +3 more
2023