Whole-body End-Effector Pose Tracking

S. Hochreiter and J. Schmidhuber, “Long short-term memory,” Neural Computation , vol. 9, no. 8, pp. 1735–1780, 1997

1997

Earlier work this paper cites.

L. Sentis and O. Khatib, “Synthesis of whole-body behaviors through hierarchical control of behavioral primitives,” International Journal of Humanoid Robotics , vol. 2, no. 04, pp. 505–518, 2005

2005

Earlier work this paper cites.

Y. Abe, B. Stephens, M. Murphy, and A. Rizzi, “Dynamic whole-body robotic manipulation,” in Unmanned Systems Technology XV , vol. 8741, 2013, pp. 280–290

2013

Earlier work this paper cites.

H. Dai, A. Valenzuela, and R. Tedrake, “Whole-body motion planning with centroidal dynamics and full kinematics,” in IEEE-RAS International Conference on Humanoid Robots , 2014, pp. 295–302

2014

Earlier work this paper cites.

B. U. Rehman, M. Focchi, J. Lee, H. Dallali, D. G. Caldwell, and C. Semini, “Towards a multi-legged mobile manipulator,” in IEEE International Conference on Robotics and Automation (ICRA) , 2016, pp. 3618–3624

2016

Earlier work this paper cites.

J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov, “Proximal Policy Optimization Algorithms,” arXiv preprint arXiv:1707.06347 , 2017

Original

2017

Earlier work this paper cites.

X. B. Peng, P. Abbeel, S. Levine, and M. van de Panne, “DeepMimic: Example-guided Deep Reinforcement Learning of Physics-based Character Skills,” ACM Transactions On Graphics , vol. 37, no. 4, pp. 1–14, 2018

2018

Earlier work this paper cites.

C. D. Bellicoso, K. Krämer, M. Stäuble, D. Sako, F. Jenelten, M. Bjelonic, and M. Hutter, “ALMA - Articulated Locomotion and Manipulation for a Torque-Controllable Robot,” in IEEE International Conference on Robotics and Automation (ICRA) , 2019, pp. 8477–8483

2019

Earlier work this paper cites.

J. Hwangbo, J. Lee, A. Dosovitskiy, D. Bellicoso, V. Tsounis, V. Koltun, and M. Hutter, “Learning agile and dynamic motor skills for legged robots,” Science Robotics , vol. 4, no. 26, p. eaau5872, 2019

2019

Earlier work this paper cites.

Y. Zhou, C. Barnes, J. Lu, J. Yang, and H. Li, “On the Continuity of Rotation Representations in Neural Networks,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2019, pp. 5745–5753

2019

Earlier work this paper cites.

J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, “Learning quadrupedal locomotion on deformable terrain,” Science Robotics , vol. 5, no. 47, p. eabc5986, 2020

2020

Earlier work this paper cites.

H. Ferrolho, W. Merkt, V. Ivan, W. Wolfslag, and S. Vijayakumar, “Optimizing Dynamic Trajectories for Robustness to Disturbances Using Polytopic Projections,” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2020, pp. 7477–7484

2020

Earlier work this paper cites.

Z. Xie, H. Y. Ling, N. H. Kim, and M. van de Panne, “ALLSTEPS: Curriculum-driven Learning of Stepping Stone Skills,” in Computer Graphics Forum , vol. 39, no. 8, 2020, pp. 213–224

2020

Earlier work this paper cites.

J.-P. Sleiman, F. Farshidian, M. V. Minniti, and M. Hutter, “A Unified MPC Framework for Whole-Body Dynamic Locomotion and Manipulation,” IEEE Robotics and Automation Letters (RA-L) , vol. 6, no. 3, pp. 4688–4695, 2021

2021

Cited alongside, same era.

V. Makoviychuk, L. Wawrzyniak, Y. Guo, M. Lu, K. Storey, M. Macklin, D. Hoeller, N. Rudin, A. Allshire, A. Handa et al. , “Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning,” arXiv preprint arXiv:2108.10470 , 2021

Original

2021

Cited alongside, same era.

S. Zimmermann, R. Poranne, and S. Coros, “Go Fetch! - Dynamic Grasps using Boston Dynamics Spot with External Robotic Arm,” in IEEE International Conference on Robotics and Automation (ICRA) , 2021, pp. 4488–4494

2021

Cited alongside, same era.

T. Miki, J. Lee, J. Hwangbo, L. Wellhausen, V. Koltun, and M. Hutter, “Learning robust perceptive locomotion for quadrupedal robots in the wild,” Science Robotics , vol. 7, no. 62, 2022

2022

Cited alongside, same era.

H. Ferrolho, V. Ivan, W. Merkt, I. Havoutis, and S. Vijayakumar, “RoLoMa: Robust loco-manipulation for quadruped robots with arms,” Autonomous Robots , vol. 47, no. 8, pp. 1463–1481, 2023

2023

Later among the works it cites.

S. Jeon, M. Jung, S. Choi, B. Kim, and J. Hwangbo, “Learning Whole-body Manipulation for Quadrupedal Robot,” IEEE Robotics and Automation Letters (RA-L) , vol. 9, no. 1, pp. 699–706, 2023

2023

Later among the works it cites.

M. Mittal, C. Yu, Q. Yu, J. Liu, N. Rudin, D. Hoeller, J. L. Yuan, R. Singh, Y. Guo, H. Mazhar, A. Mandlekar, B. Babich, G. State, M. Hutter, and A. Garg, “Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments,” IEEE Robotics and Automation Letters (RA-L) , vol. 8, no. 6, p. 3740–3747, 2023

2023

Later among the works it cites.

P. Arm, G. Waibel, J. Preisig, T. Tuna, R. Zhou, V. Bickel, G. Ligeza, T. Miki, F. Kehl, H. Kolvenbach, and M. Hutter, “Scientific exploration of challenging planetary analog environments with a team of legged robots,” Science Robotics , vol. 8, no. 80, p. eade9548, 2023