Amir Ghalamzan Esfahani

About

Amir Ghalamzan Esfahani is a leading researcher in robotics, with a focus on autonomous systems, human-robot interaction, and agricultural robotics. His work addresses critical challenges in teleoperation, including the impact of motion scaling and haptic guidance on operator workload and performance, as demonstrated in his 2022 study (6 citations). He has also made significant contributions to robotic harvesting, particularly in designing end-effectors for strawberry picking, where his 2022 paper on peduncle gripping and cutting forces (4 citations) advances the efficiency of agricultural robots. In the medical domain, Esfahani has explored deep robot path planning from demonstrations for breast cancer examination (2021, 3 citations), showcasing the versatility of his research. His work on tactile dynamic behavior prediction (2021, 5 citations) and modeling walking robots (2020, 4 citations) further highlights his expertise in robot control and perception. With a growing citation record and a focus on practical, safety-critical applications, Esfahani’s research is shaping the future of autonomous and human-assisted robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Towards Autonomous Robotic Systems

   8 citations · 2021
2. 2
   The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation

   6 citations · 2022
3. 3
   Tactile Dynamic Behaviour Prediction Based on Robot Action

   5 citations · 2021
4. 4
   Modelling and Control of an End-Over-End Walking Robot

   4 citations · 2020
5. 5
   Peduncle Gripping and Cutting Force for Strawberry Harvesting Robotic End-effector Design

   4 citations · 2022
6. 6
   Deep Robot Path Planning from Demonstrations for Breast Cancer Examination

   3 citations · 2021

Key Collaborators

Contact & Links