Amir M. Ghalamzan E.

According to our database, Amir M. Ghalamzan E. authored at least 51 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AST-2: Single and bi-layered 2-D acoustic soft tactile skin.

Vishnu Rajendran S, Simon Parsons, Amir Ghalamzan E

CoRR, 2024

2023

Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation.

Willow Mandil, Vishnu Rajendran, Kiyanoush Nazari, Amir Ghalamzan Esfahani

Sensors, September, 2023

Haptic-guided grasping to minimise torque effort during robotic telemanipulation.

Rahaf Rahal, Amir M. Ghalamzan E., Firas Abi-Farraj, Claudio Pacchierotti, Paolo Robuffo Giordano

Auton. Robots, April, 2023

Combining Vision and Tactile Sensation for Video Prediction.

Willow Mandil, Amir Ghalamzan E

CoRR, 2023

Towards Autonomous Selective Harvesting: A Review of Robot Perception, Robot Design, Motion Planning and Control.

Vishnu Rajendran S, Bappaditya Debnath, Sariah Mghames, Willow Mandil, Soran Parsa, Simon Parsons, Amir Ghalamzan E

CoRR, 2023

Natural Language Robot Programming: NLP integrated with autonomous robotic grasping.

Muhammad Arshad Khan, Max Kenney, Jack Painter, Disha Kamale, Riza Batista-Navarro, Amir Ghalamzan E

CoRR, 2023

Acoustic Soft Tactile Skin (AST Skin).

Vishnu Rajendran S, Willow Mandil, Simon Parsons, Amir Ghalamzan E

CoRR, 2023

Deep Functional Predictive Control for Strawberry Cluster Manipulation using Tactile Prediction.

Kiyanoush Nazari, Gabriele Gandolfi, Zeynab Talebpour, Vishnu Rajendran, Paolo Rocco, Amir M. Ghalamzan E.

CoRR, 2023

Autonomous Strawberry Picking Robotic System (Robofruit).

Soran Parsa, Bappaditya Debnath, Muhammad Arshad Khan, Amir Ghalamzan E

CoRR, 2023

Deep Functional Predictive Control (deep-FPC): Robot Pushing 3-D Cluster Using Tactile Prediction.

Kiyanoush Nazari, Gabriele Gandolfi, Zeynab Talebpour, Vishnu Rajendran, Willow Mandil, Paolo Rocco, Amir M. Ghalamzan E.

IROS, 2023

Acoustic Soft Tactile Skin: Towards Continuous Tactile Sensing.

Vishnu Rajendran S, Simon Parsons, Amir M. Ghalamzan E.

Proceedings of the 21st International Conference on Advanced Robotics, 2023

2022

Robotic Perception in Agri-food Manipulation: A Review.

Jack Foster, Mazvydas Gudelis, Amir Ghalamzan Esfahani

CoRR, 2022

Peduncle Gripping and Cutting Force for Strawberry Harvesting Robotic End-effector Design.

Vishnu Rajendran S, Soran Parsa, Simon Parsons, Amir Ghalamzan Esfahani

CoRR, 2022

Action Conditioned Tactile Prediction: case study on slip prediction.

Willow Mandil, Kiyanoush Nazari, Amir Ghalamzan E

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

dPMP-Deep Probabilistic Motion Planning: A use case in Strawberry Picking Robot.

Alessandra Tafuro, Bappaditya Debnath, Andrea M. Zanchettin, Ghalamzan E. Amir

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Strawberry picking point localization ripeness and weight estimation.

Alessandra Tafuro, Adeayo Adewumi, Soran Parsa, Ghalamzan E. Amir, Bappaditya Debnath

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Proactive slip control by learned slip model and trajectory adaptation.

Kiyanoush Nazari, Willow Mandil, Amir Masoud Ghalamzan Esfahani

Proceedings of the Conference on Robot Learning, 2022

The Impact of Motion Scaling and Haptic Guidance on Operators' Workload and Performance in Teleoperation.

Soran Parsa, Horia A. Maior, Alex Reeve Elliott Thumwood, Max L. Wilson, Marc Hanheide, Amir Ghalamzan Esfahani

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Deep Movement Primitives: Toward Breast Cancer Examination Robot.

Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. López-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan E.

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Deep-LfD: Deep robot learning from demonstrations.

Amir Ghalamzan E, Kiyanoush Nazari, Hamidreza Hashempour, Fangxun Zhong

Softw. Impacts, 2021

Learning needle insertion from sample task executions.

Amir Ghalamzan E

CoRR, 2021

Tactile Dynamic Behaviour Prediction Based on Robot Action.

Kiyanoush Nazari, Willow Mandill, Marc Hanheide, Amir Ghalamzan Esfahani

Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021

Deep Robot Path Planning from Demonstrations for Breast Cancer Examination.

Marta Crivellari, Oluwatoyin Sanni, Andrea M. Zanchettin, Amir Ghalamzan Esfahani

Proceedings of the Towards Autonomous Robotic Systems - 22nd Annual Conference, 2021

Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations.

Abdalkarim Mohtasib, Amir Ghalamzan E, Nicola Bellotto, Heriberto Cuayáhuitl

Proceedings of the International Joint Conference on Neural Networks, 2021

Optimal grasp selection, and control for stabilising a grasped object, with respect to slippage and external forces.

Tommaso Pardi, Amir M. Ghalamzan E., Valerio Ortenzi, Rustam Stolkin

Proceedings of the 20th IEEE-RAS International Conference on Humanoid Robots, 2021

2020

Planning Maximum-Manipulability Cutting Paths.

Tommaso Pardi, Valerio Ortenzi, Colin Fairbairn, Tony Pipe, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin

IEEE Robotics Autom. Lett., 2020

A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations.

Hamidreza Hashempour, Kiyanoush Nazari, Fangxun Zhong, Amir Ghalamzan E

CoRR, 2020

Planning Actions by Interactive Movement Primitives: pushing occluding pieces to pick a ripe fruit.

Sariah Mghames, Marc Hanheide, Amir Ghalamzan E

CoRR, 2020

Interactive Movement Primitives: Planning to Push Occluding Pieces for Fruit Picking.

Sariah Mghames, Marc Hanheide, Amir Ghalamzan E

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Estimating An Object's Inertial Parameters By Robotic Pushing: A Data-Driven Approach.

Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Haptic-guided shared control grasping: collision-free manipulation.

Soran Parsa, Disha Kamale, Sariah Mghames, Kiyanoush Nazari, Tommaso Pardi, Aravinda Ramakrishnan Srinivasan, Gerhard Neumann, Marc Hanheide, Amir Ghalamzan E

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020

2019

Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning.

Ronghua Shang, Yang Meng, Chiyang Liu, Licheng Jiao, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin

Mach. Learn., 2019

Maximally manipulable vision-based motion planning for robotic rough-cutting on arbitrarily shaped surfaces.

Tommaso Pardi, Valerio Ortenzi, Colin Fairbairn, Tony Pipe, Amir M. Ghalamzan E., Rustam Stolkin

CoRR, 2019

Haptic-guided shared control for needle grasping optimization in minimally invasive robotic surgery.

Mario Selvaggio, Amir M. Ghalamzan E., Rocco Moccia, Fanny Ficuciello, Bruno Siciliano

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018

A self-paced learning algorithm for change detection in synthetic aperture radar images.

Ronghua Shang, Yijing Yuan, Licheng Jiao, Yang Meng, Amir Masoud Ghalamzan Esfahani

Signal Process., 2018

Robot learning from demonstrations: Emulation learning in environments with moving obstacles.

Amir M. Ghalamzan E., Matteo Ragaglia

Robotics Auton. Syst., 2018

Quantum-Inspired Immune Clonal Algorithm for solving large-scale capacitated arc routing problems.

Ronghua Shang, Bingqi Du, Kaiyun Dai, Licheng Jiao, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin

Memetic Comput., 2018

Choosing Grasps to Enable Collision-Free Post-Grasp Manipulations.

Tommaso Pardi, Rustam Stolkin, Amir M. Ghalamzan E.

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

2017

A Fast Algorithm for SAR Image Segmentation Based on Key Pixels.

Ronghua Shang, Yijing Yuan, Licheng Jiao, Biao Hou, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Guiding Trajectory Optimization by Demonstrated Distributions.

Takayuki Osa, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin, Rudolf Lioutikov, Jan Peters, Gerhard Neumann

IEEE Robotics Autom. Lett., 2017

Grasp that optimises objectives along post-grasp trajectories.

Amir M. Ghalamzan E., Nikos Mavrakis, Rustam Stolkin

CoRR, 2017

Community mining using three closely joint techniques based on community mutual membership and refinement strategy.

Ronghua Shang, Huan Liu, Licheng Jiao, Amir Masoud Ghalamzan Esfahani

Appl. Soft Comput., 2017

Safe robotic grasping: Minimum impact-force grasp selection.

Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Human-in-the-loop optimisation: Mixed initiative grasping for optimally facilitating post-grasp manipulative actions.

Amir M. Ghalamzan E., Firas Abi-Farraj, Paolo Robuffo Giordano, Rustam Stolkin

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Towards robotic decommissioning of legacy nuclear plant: Results of human-factors experiments with tele-robotic manipulation, and a discussion of challenges and approaches for decommissioning.

Mohammed Talha, Amir M. Ghalamzan E., Chie Takahashi, Jeffrey A. Kuo, W. Ingamells, Rustam Stolkin

Proceedings of the 2016 IEEE International Symposium on Safety, 2016

Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories.

Amir M. Ghalamzan E., Nikos Mavrakis, Marek Sewer Kopicki, Rustam Stolkin, Ales Leonardis

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Analysis of the inertia and dynamics of grasped objects, for choosing optimal grasps to enable torque-efficient post-grasp manipulations.

Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin, Luca Baronti, Marek Sewer Kopicki, Marco Castellani

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015

Towards robot learning from demonstration: a view inspired from observational learning.

Amir Masoud Ghalamzan Esfahani

PhD thesis, 2015

An incremental approach to learning generalizable robot tasks from human demonstration.

Amir M. Ghalamzan E., Chris Paxton, Gregory D. Hager, Luca Bascetta

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Estimating a Mean-Path from a set of 2-D curves.

Amir M. Ghalamzan E., Luca Bascetta, Marcello Restelli, Paolo Rocco

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Robust harmonic control for helicopter vibration attenuation.

Roberto Mura, Amir Masoud Ghalamzan Esfahani, Marco Lovera

Proceedings of the American Control Conference, 2014