This could help to gauge what the state of the art control methods and their performance.
A few that I have seen:
Mueller-Sim, Tim, et al. "The Robotanist: a ground-based agricultural robot for high-throughput crop phenotyping." 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2017.
Friesen, Jeffrey M., et al. "A tensegrity-inspired compliant 3-DOF compliant joint." 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2018.
Whitman, Julian, and Howie Choset. "Task-specific manipulator design and trajectory synthesis." IEEE Robotics and Automation Letters 4.2 (2018): 301-308.
Tian, Nan, et al. "A fog robotic system for dynamic visual servoing." 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2019.
Whitman, Julian, et al. "Modular Robot Design Synthesis with Deep Reinforcement Learning." AAAI. 2020.
Hafner, Roland, et al. "Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion." arXiv preprint arXiv:2008.12228 (2020).
Antonova, Rika, et al. "Bayesian optimization in variational latent spaces with dynamic compression." Conference on Robot Learning. PMLR, 2020.
Li, Tianyu, et al. "Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion." arXiv preprint arXiv:2008.11867 (2020).