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curieuxjy committed Mar 12, 2024
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- [OPT-Mimic: Imitation of Optimized Trajectories for Dynamic Quadruped Behaviors](https://arxiv.org/abs/2210.01247)
- [ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments](https://ieeexplore.ieee.org/abstract/document/10107764)
- [Orthrus: A Dual-arm Quadrupedal Robot for Mobile Manipulation and Entertainment Applications](https://ieeexplore.ieee.org/document/10309339)
- [Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive](https://arxiv.org/abs/2302.13378)
- [PyPose: A Library for Robot Learning with Physics-based Optimization](https://arxiv.org/abs/2209.15428)
- [Real-Time Collision-Free Motion Planning and Control for Mobile Manipulation with Quadrupeds](https://ieeexplore.ieee.org/abstract/document/10354901)
- [Reinforcement Learning for Legged Robots: Motion Imitation from Model-Based Optimal Control](https://arxiv.org/abs/2305.10989)
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- [Deep reinforcement learning for real-world quadrupedal locomotion: a comprehensive review](https://www.oaepublish.com/articles/ir.2022.20)
- [Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion](https://arxiv.org/abs/2210.10044)
- [DeepPhase: periodic autoencoders for learning motion phase manifolds](https://dl.acm.org/doi/10.1145/3528223.3530178)
- [DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body](https://arxiv.org/abs/2209.14218)
- [Elevation Mapping for Locomotion and Navigation using GPU](https://arxiv.org/abs/2204.12876)
- [Factor Graph Fusion of Raw GNSS Sensing with IMU and Lidar for Precise Robot Localization without a Base Station](https://arxiv.org/abs/2209.14649)
- [GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots](https://openreview.net/forum?id=mqry_xMzvCM)
- [Genloco: Generalizedlocomotion controllers for quadrupedal robot](https://arxiv.org/abs/2209.05309)
- [Hierarchical Adaptive Loco-manipulation Control for Quadruped Robots](https://arxiv.org/abs/2209.13145)
- [Hierarchical Decentralized Deep Reinforcement Learning Architecture for a Simulated Four-Legged Agent](https://arxiv.org/abs/2210.08003)
- [Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot](https://arxiv.org/abs/2208.01160)
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- [Learning and Deploying Robust Locomotion Policies with Minimal Dynamics Randomization](https://arxiv.org/abs/2209.12878)
- [Learning Footstep Planning for the Quadrupedal Locomotion with Model Predictive Control](https://link.springer.com/chapter/10.1007/978-3-030-97672-9_4)
- [Learning Forward Dynamics Model and Informed Trajectory Sampler for Safe Quadruped Navigation](https://doi.org/10.48550/arXiv.2204.08647)
- [Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller](https://arxiv.org/abs/2201.00206)
- [Learning Low-Frequency Motion Control for Robust and Dynamic Robot Locomotion](https://arxiv.org/abs/2209.14887)
- [Learning Modular Robot Visual-motor Locomotion Policies](https://arxiv.org/abs/2210.17486)
- [Learning plastic matching of robot dynamics in closed-loop central pattern generators](https://www.nature.com/articles/s42256-022-00505-4)
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- [Development of a Quadruped Robot System With Torque-Controllable Modular Actuator Unit](https://doi.org/10.1109/TIE.2020.3007084)
- [Dynamics Randomization Revisited:A Case Study for Quadrupedal Locomotion](https://arxiv.org/abs/2011.02404)
- [Efficient Motion Planning Based on Kinodynamic Model for Quadruped Robots Following Persons in Confined Spaces](https://ieeexplore.ieee.org/document/9440744)
- [Fast and Efficient Locomotion via Learned Gait Transitions](https://arxiv.org/abs/2104.04644)
- [GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model](https://arxiv.org/abs/2104.09771?context=cs)
- [Imitation Learning by Reinforcement Learning](https://doi.org/10.48550/arXiv.2108.04763)
- [Imitation Learning from MPC for Quadrupedal Multi-Gait Control](https://doi.org/10.1109/ICRA48506.2021.9561444)
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