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The Yale human grasping dataset: Grasp, object, and task data in household and machine shop environments., , and . Int. J. Robotics Res., 34 (3): 251-255 (2015)Adaptive Legged Robots Through Exactly Constrained and Non-Redundant Design., , , and . IEEE Access, (2017)Towards grasping in unstructured environments: grasper compliance and configuration optimization., and . Adv. Robotics, 19 (5): 523-543 (2005)Complex manipulation with a simple robotic hand through contact breaking and caging., , and . Sci. Robotics, 6 (54): 2666 (2021)Yale-CMU-Berkeley dataset for robotic manipulation research., , , , , , , and . Int. J. Robotics Res., 36 (3): 261-268 (2017)Analysis of Human Grasping Behavior: Correlating Tasks, Objects and Grasps., , and . IEEE Trans. Haptics, 7 (4): 430-441 (2014)Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning., , , , , and . ICRA, page 6672-6678. IEEE, (2021)On the mechanics of the ankle in the stance phase of the gait., , and . EMBC, page 8135-8140. IEEE, (2011)Stability Optimization of Two-Fingered Anthropomorphic Hands for Precision Grasping with a Single Actuator., and . ICRA, page 451-457. IEEE, (2019)A Clustering Approach to Categorizing 7 Degree-of-Freedom Arm Motions during Activities of Daily Living., , and . ICRA, page 7214-7220. IEEE, (2019)