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A review of human–machine cooperation in the robotics domain
Artificial intelligence (AI) technology has greatly expanded human capabilities through
perception, understanding, action, and learning. The future of AI depends on cooperation …
perception, understanding, action, and learning. The future of AI depends on cooperation …
Survey on map** human hand motion to robotic hands for teleoperation
R Li, H Wang, Z Liu - … Transactions on Circuits and Systems for …, 2021 - ieeexplore.ieee.org
Map** human hand motion to robotic hands has great significance in a wide range of
applications, such as teleoperation and imitation learning. The ultimate goal is to develop a …
applications, such as teleoperation and imitation learning. The ultimate goal is to develop a …
The uncanny valley effect in zoomorphic robots: The U-shaped relation between animal likeness and likeability
The uncanny valley effect denotes a dip in the positive relation between a robot's human
likeness and likeability. This paper provides first evidence that this design-guiding effect is …
likeness and likeability. This paper provides first evidence that this design-guiding effect is …
[HTML][HTML] The anthropomorphic hand assessment protocol (AHAP)
The progress in the development of anthropomorphic hands for robotic and prosthetic
applications has not been followed by a parallel development of objective methods to …
applications has not been followed by a parallel development of objective methods to …
Humanoid motion planning of robotic arm based on human arm action feature and reinforcement learning
The use and application of robotic arms in hel** the aged and vulnerable persons are
increasing gradually. In order to achieve safer and reliable human-robot interaction and its …
increasing gradually. In order to achieve safer and reliable human-robot interaction and its …
Motion planning by demonstration with human-likeness evaluation for dual-arm robots
This paper presents a planning procedure that allows an anthropomorphic dual-arm robotic
system to perform a manipulation task in a natural human-like way by using demonstrated …
system to perform a manipulation task in a natural human-like way by using demonstrated …
[CARTE][B] AI love you
Y Zhou, MH Fischer - 2019 - Springer
As we move headlong through the twenty-first century and into the future, achievements in
artificial intelligence (AI) continue at an exponential speed. AlphaGo, AlphaGo Zero, and …
artificial intelligence (AI) continue at an exponential speed. AlphaGo, AlphaGo Zero, and …
Robotic telepresence based on augmented reality and human motion map** for interventional medicine
Robotic telemedicine has a high potential to promote the development of future medicine. It
enables the treatment of critical patients in geographically remote locations in time, and also …
enables the treatment of critical patients in geographically remote locations in time, and also …
Towards unifying human likeness: Evaluating metrics for human-like motion retargeting on bimanual manipulation tasks
Generating human-like robot motions is pivotal for achieving smooth human-robot
interactions. Such motions contribute to better predictions of robot motions by humans, thus …
interactions. Such motions contribute to better predictions of robot motions by humans, thus …
A learning scheme for reach to grasp movements: On EMG-based interfaces using task specific motion decoding models
A learning scheme based on random forests is used to discriminate between different reach
to grasp movements in 3-D space, based on the myoelectric activity of human muscles of the …
to grasp movements in 3-D space, based on the myoelectric activity of human muscles of the …