Task-based role adaptation for human-robot cooperative object handling
Artikel i vetenskaplig tidskrift, 2021

In this letter, we propose a task-based role allocation control scheme for cooperative manipulation of a rigid-body object jointly held by a human and a robot. The task-based allocation scheme allows an assistive robot to take an active role when the task is known. To deal with the translation/rotation problem, we define rotation and translation as distinct parameterized tasks. The task that describes better human intention is identified by solving an optimization problem with a predefined adjustable similarity factor for each task. The role of the robot while performing the identified task can be directly tuned as a parameter associated with the percentage of the required force for performing the corresponding task and is predefined for each task and degree of freedom, independently. The performance of the proposed control scheme is evaluated via simulation and experiments on a real robot setup.

Physical Human-Robot Interaction

Robot kinematics


Robot sensing systems

Intention Recognition



Human-Robot Collaboration

Task analysis



Ramin Jaberzadeh Ansari

Chalmers, Elektroteknik, System- och reglerteknik

Yiannis Karayiannidis

Kungliga Tekniska Högskolan (KTH)

IEEE Robotics and Automation Letters

23773766 (eISSN)

Vol. 6 2 3592-3598 9372776


Robotteknik och automation


Datorseende och robotik (autonoma system)



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