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2021世界机器人大会发布了《机器人十大前沿热点领域（2012-2022年）》，这十大领域包括人体人工肌肉与智能皮肤、机器人核心部件技术、机器视觉技术、微纳器件及微型执行器、虚拟现实机器人与交互技术等。
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机器人十大前沿热点领域（2012-2022年）
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In this work, the problem of human-robot collaborative object transfer to unknown target poses is addressed. The desired pattern of the end-effector pose trajectory to a known target pose is encoded using DMPs (Dynamic Movement Primitives). During transportation of the object to new unknown targets, a DMP-based reference model and an EKF (Extended Kalman Filter) for estimating the target pose and time duration of the human's intended motion is proposed. A stability analysis of the overall scheme is provided. Experiments using a Kuka LWR4+ robot equipped with an ATI sensor at its end-effector validate its efficacy with respect to the required human effort and compare it with an admittance control scheme.
