Dr Amir Esfahani PhD

Dr Amir Masoud Ghalamzan Esfahani

School of Metallurgy and Materials
Associate Research Fellow

Contact details

Address
School of Metallurgy and Materials
University of Birmingham
Elms Road
Edgbaston
Birmingham
B15 2SE

Amir Esfahani is now Senior Lecturer at the College of Science, University of Lincoln, UK. 

Please see his up-to-date profile here

He is also an Associate Research Fellow in the School of Metallurgy and Materials at University of Birmingham, where he is conducting research with PhD students and postdocs on robotic cutting grasping and manipulation, mobile manipulation, robotic teleopearation and robot learning from demosntration.

IROS 2017 (Demo) - Human in the loop optimisation: mixed initiative grasping

Qualifications

  • PhD in robot learning from demonstration
  • MSc (Hons) in Automatic control engineering
  • MSc in Mechanical engineering
  • BSc in Mechanical engineering

Biography

Amir Ghalamzan qualified with BSc and MSc in mechanical engineering from Urmia University and Iran University of Science and Technology (Iran) in 2004 and 2009, respectively.

He received the second level specialisation degree with honour in Automatic Control engineering from Politecnico di Torino in 2011 and PhD in robotics from Politecnico di Milano in 2015. He joined the Extreme Robotics Lab at the University of Birmingham as a postdoctoral fellow in August 2015. He was a Reseach Fellow in the same group from October 2017 to November 2018. Since November 2018, he is a Senior Lecturer in the University of Lincoln, UK, and an Associate Research Fellow in the University of Birmingham, UK.

Research

  • Robotic grasping and manipulation
  • Robotic teleoperation
  • Robot learning from demonstration
  • Mobile manipulation

Publications

  • A. M., Ghalamzan E., F. Abi-Farraj, P. Robuffolo Giardino, and R. Stolkin (2017) "Human-in-the-loop optimisation: mixed initiative grasping for optimally facilitating post-grasp manipulative actions", in the Proceeding of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • N. Mavrakis, A. M., Ghalamzan E., and R. Stolkin (2017) "Safe robotic grasping", in the Proceeding of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • T. Osa, A. M., Ghalamzan E.; R. Stolkin, R. Lioutikov, J. Peters, Gerhard Neumann (2017) “Guiding Trajectory Optimization with Demonstrated Distribution” IEEE Robotics and Automation Letters 2.2: 819-826
  • N. Mavrakis, A. M., Ghalamzan E., R. Stolkin, L. Baronet, M. Kopicki, M. Castellani “Analysis of the Inertia and Dynamics of Grasped Objects, for Choosing Optimal Grasps to Enable Torque-Efficient Post-Grasp Manipulations”, in the Proceedings of the IEEE/RSJ International Conference on Humanoid Robots-2016 (Finalist for Best Interactive Paper Award)
  • M.Talha, A. M., Ghalamzan E.; C. Takahashi; J. Kuo, W. Ingamells; R. Stone; R. Stolkin (2016) “Towards robotic decommissioning of legacy nuclear plant: results of human-factors experiments with telerobotic manipulation, and a discussion of challenges and approaches for decommissioning”, in the Proceeding of the IEEE/RSJ International Symposium on Safety, Security and Rescue Robotics
  • A. M., Ghalamzan E., N. Mavrakis; M. Kopicki; R. Stolkin; A. Leonardis (2016) “Task-relevant grasp selection: a joint solution to planning grasps and manipulative motion trajectories”, in the Proceeding of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • A. M., Ghalamzan E.,; C. Paxton, G. D. Hager, L. Bascetta (2015) “An incremental Approach to Learning Generalizable Robot Tasks from Human Demonstration”, in the Proceeding of the IEEE International Conference on Robots and Automation (ICRA)
  • A. M., Ghalamzan E., L. Bascetta; M., Restelli; P., Rocco (2015) “Estimating a Mean-Path from a set of 2-D curves”, in the Proceeding of the IEEE International Conference on Robots and Automation (ICRA)
  • R., Mura; A. M., Ghalamzan E.; M., Lovera (2014) “Robust harmonic control for helicopter vibration attenuation” American Control Conference (ACC)-IEEE