Farshad Haghgoo Daryakenari
Contact details
- farshad.haghgoodaryakenari@student.unimelb.edu.au
- Space Lab, Level 3, Engineering Block D (Building 176)
- ORCID
Thesis title
Design and Implementation of a Performance Based Adaptive Shared Autonomy
Research overview
This research therefore studies the development of an adaptive shared-autonomy framework for teleoperated manipulation in which human and autonomous commands are blended via a policy driven by a real-time, local estimate of task difficulty inferred from environmental cues. The Steering Law is adopted as the core difficulty model, with complementary global (centerline-based) and executed-path formulations used to explain movement time (MT) and to provide an online signal for assistance modulation.
Research group
Supervisors
Qualifications
B.Sc. Mechanical Engineering, University of Tehran, Iran
M.Sc. Mechatronics and Robotics Engineering, Sharif University of Technology, Iran