Data driven models for human motion prediction in human-robot collaboration

Q Li, Z Zhang, Y You, Y Mu, C Feng - IEEE Access, 2020 - ieeexplore.ieee.org
To improve the safety and effectiveness of human-robot collaboration (HRC), the robot must
plan a safe trajectory before the human movement is finished. Therefore, it is necessary to …

Elastic-bound conditions for energetically optimal elasticity and their implications for biomimetic propulsion systems

A Pons, T Beatus - Nonlinear Dynamics, 2022 - Springer
Minimising the energy consumption associated with periodic motion is a priority common to
a wide range of technologies and organisms. These include many forms of biological and …

Probabilistic multimodal modeling for human-robot interaction tasks

J Campbell, S Stepputtis, HB Amor - arXiv preprint arXiv:1908.04955, 2019 - arxiv.org
Human-robot interaction benefits greatly from multimodal sensor inputs as they enable
increased robustness and generalization accuracy. Despite this observation, few HRI …

Skill-based shared control

CE Mower, J Moura, S Vijayakumar - Robotics: Science and …, 2021 - research.ed.ac.uk
Performing a number of motion patterns–referred to as skills–(eg, wave, spiral, sweeping
motions) during teleoperation is an integral part of many industrial processes such as …

Temporal Synergies Detection in Gait Cyclograms Using Wearable Technology

MM Gavrilović, MM Janković - Sensors, 2022 - mdpi.com
The human gait can be described as the synergistic activity of all individual components of
the sensory–motor system. The central nervous system (CNS) develops synergies to …

Band-type resonance: non-discrete energetically optimal resonant states

A Pons, T Beatus - Nonlinear Dynamics, 2023 - Springer
Structural resonance involves the absorption of inertial loads by a tuned structural elasticity:
a process playing a key role in a wide range of biological and technological systems …

Learning Human-arm Reaching Motion Using a Wearable Device in Human-Robot Collaboration

ND Kahanowich, A Sintov - IEEE Access, 2024 - ieeexplore.ieee.org
Many tasks performed by two humans require mutual interaction between arms such as
handing-over tools and objects. In order for a robotic arm to interact with a human in the …

Predictive modeling of periodic behavior for human-robot symbiotic walking

G Clark, J Campbell, SMR Sorkhabadi… - … on Robotics and …, 2020 - ieeexplore.ieee.org
We propose in this paper Periodic Interaction Primitives-a probabilistic framework that can
be used to learn compact models of periodic behavior. Our approach extends existing …

Learning Human-arm Reaching Motion Using IMU in Human-Robot Collaboration

ND Kahanowich, A Sintov - arXiv preprint arXiv:2308.13936, 2023 - arxiv.org
Many tasks performed by two humans require mutual interaction between arms such as
handing-over tools and objects. In order for a robotic arm to interact with a human in the …

An ontology for human-human interactions and learning interaction behavior policies

OS Oguz, W Rampeltshammer, S Paillan… - ACM Transactions on …, 2019 - dl.acm.org
Robots are expected to possess similar capabilities that humans exhibit during close
proximity dyadic interaction. Humans can easily adapt to each other in a multitude of …