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Park, “Real-time constrained nonlinear model predictive control on SO(3) for dynamic legged locomotion” in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE, 2020), pp
from the top result below
https://www.science.org/doi/10.1126/scirobotics.adz7397
Enabling such dynamic locomotion is crucial not only for navigating natural outdoor environments, such as forests and mountainous regions, but also for advancing robotic performance in high-stakes applications, such as search-and-rescue missions (3–5)
https://www.science.org/doi/10.1126/scirobotics.adz7130
Johannes, “Approaches to robotic teleoperation in a disaster scenario: From supervised autonomy to direct control” in 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IEEE, 2014), pp
https://www.science.org/doi/10.1126/scirobotics.aec7695
Mombaur, “Optimal control for whole-body motion generation using center-of-mass dynamics for predefined multi-contact configurations,” in 2015 IEEE-RAS 15th International Conference on Humanoid Robotics (Humanoids) (IEEE, 2015), pp
https://www.science.org/doi/10.1126/scirobotics.aed4592
Beyond demonstrating the benefits of scale, we further show downstream utility through a real-time kinematic planner that bridges motion tracking to tasks such as navigation, enabling natural and interactive control, as well as a unified token space that supports virtual reality (VR) teleoperation and vision-language
https://www.science.org/doi/10.1126/scirobotics.aec1762
However, relatively little is known about how humans integrate signals across the brain, hormones, mind, and behavior when robots violate expectations or display social expressiveness