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ORCIDAmir M. Ghalamzan E.
Amir Masoud Ghalamzan Esfahani – Amir Ghalamzan Esfahani – Amir Ghalamzan E – Ghalamzan E. Amir
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Books and Theses
- 2015
[b1]Amir Masoud Ghalamzan Esfahani:
Towards robot learning from demonstration: a view inspired from observational learning. Polytechnic University of Milan, Italy, 2015
Journal Articles
- 2024
- [j15]Soran Parsa
, Bappaditya Debnath, Muhammad Arshad Khan, Amir M. Ghalamzan E.:
Modular autonomous strawberry picking robotic system. J. Field Robotics 41(7): 2226-2246 (2024) - [j14]Vishnu Rajendran S, Bappaditya Debnath, Sariah Mghames, Willow Mandil, Soran Parsa, Simon Parsons, Amir M. Ghalamzan E.:
Towards autonomous selective harvesting: A review of robot perception, robot design, motion planning and control. J. Field Robotics 41(7): 2247-2279 (2024) - [j13]Usman A. Zahidi, Arshad Khan, Tsvetan Zhivkov, Johann Dichtl, Dom Li, Soran Parsa, Marc Hanheide, Grzegorz Cielniak, Elizabeth I. Sklar, Simon Pearson, Amir M. Ghalamzan E.:
Optimising robotic operation speed with edge computing via 5G network: Insights from selective harvesting robots. J. Field Robotics 41(8): 2771-2789 (2024) - [j12]Mohammad Sheikh Sofla, Hanita Golshanian, Vishnu Rajendran S, Amir Ghalamzan E:
Soft Acoustic Curvature Sensor: Design and Development. IEEE Robotics Autom. Lett. 9(11): 9518-9525 (2024) - 2023
- [j11]Rahaf Rahal, Amir M. Ghalamzan E., Firas Abi-Farraj, Claudio Pacchierotti, Paolo Robuffo Giordano:
Haptic-guided grasping to minimise torque effort during robotic telemanipulation. Auton. Robots 47(4): 405-423 (2023) - [j10]Willow Mandil, Vishnu Rajendran, Kiyanoush Nazari, Amir Ghalamzan Esfahani:
Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation. Sensors 23(17): 7362 (2023) - 2021
- [j9]Amir Ghalamzan E, Kiyanoush Nazari, Hamidreza Hashempour, Fangxun Zhong:
Deep-LfD: Deep robot learning from demonstrations. Softw. Impacts 9: 100087 (2021) - 2020
- [j8]Tommaso Pardi, Valerio Ortenzi, Colin Fairbairn, Tony Pipe, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin:
Planning Maximum-Manipulability Cutting Paths. IEEE Robotics Autom. Lett. 5(2): 1999-2006 (2020) - 2019
- [j7]Ronghua Shang, Yang Meng, Chiyang Liu, Licheng Jiao, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin:
Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning. Mach. Learn. 108(4): 659-686 (2019) - 2018
- [j6]Ronghua Shang, Bingqi Du, Kaiyun Dai, Licheng Jiao, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin:
Quantum-Inspired Immune Clonal Algorithm for solving large-scale capacitated arc routing problems. Memetic Comput. 10(1): 81-102 (2018) - [j5]Amir M. Ghalamzan E., Matteo Ragaglia:
Robot learning from demonstrations: Emulation learning in environments with moving obstacles. Robotics Auton. Syst. 101: 45-56 (2018) - [j4]Ronghua Shang, Yijing Yuan, Licheng Jiao, Yang Meng, Amir Masoud Ghalamzan Esfahani:
A self-paced learning algorithm for change detection in synthetic aperture radar images. Signal Process. 142: 375-387 (2018) - 2017
- [j3]Ronghua Shang, Huan Liu, Licheng Jiao, Amir Masoud Ghalamzan Esfahani:
Community mining using three closely joint techniques based on community mutual membership and refinement strategy. Appl. Soft Comput. 61: 1060-1073 (2017) - [j2]Takayuki Osa, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin, Rudolf Lioutikov, Jan Peters, Gerhard Neumann:
Guiding Trajectory Optimization by Demonstrated Distributions. IEEE Robotics Autom. Lett. 2(2): 819-826 (2017) - [j1]Ronghua Shang, Yijing Yuan, Licheng Jiao, Biao Hou, Amir Masoud Ghalamzan Esfahani, Rustam Stolkin:
A Fast Algorithm for SAR Image Segmentation Based on Key Pixels. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5657-5673 (2017)
Conference and Workshop Papers
- 2024
- [c28]Vishnu Rajendran S, Willow Mandil, Kiyanoush Nazari, Simon Parsons, Amir Ghalamzan E:
Acoustic Soft Tactile Skin (AST Skin). ICRA 2024: 4105-4111 - [c27]Vishnu Rajendran S, Simon Parsons, Amir M. Ghalamzan E.:
Single and Bi-Layered 2-D Acoustic Soft Tactile Skin. RoboSoft 2024: 133-138 - [c26]Vishnu Rajendran S, Kiyanoush Nazari, Simon Parsons, Amir M. Ghalamzan E.:
Enabling Tactile Feedback for Robotic Strawberry Handling Using AST Skin. TAROS (1) 2024: 209-221 - 2023
- [c25]Vishnu Rajendran S, Simon Parsons, Amir M. Ghalamzan E.:
Acoustic Soft Tactile Skin: Towards Continuous Tactile Sensing. ICAR 2023: 621-626 - [c24]Kiyanoush Nazari, Gabriele Gandolfi, Zeynab Talebpour, Vishnu Rajendran, Willow Mandil, Paolo Rocco, Amir M. Ghalamzan E.:
Deep Functional Predictive Control (deep-FPC): Robot Pushing 3-D Cluster Using Tactile Prediction. IROS 2023: 10771-10776 - 2022
- [c23]Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. López-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan E.:
Deep Movement Primitives: Toward Breast Cancer Examination Robot. AAAI 2022: 12126-12134 - [c22]Soran Parsa, Horia A. Maior, Alex Reeve Elliott Thumwood, Max L. Wilson, Marc Hanheide, Amir Ghalamzan Esfahani:
The Impact of Motion Scaling and Haptic Guidance on Operators' Workload and Performance in Teleoperation. CHI Extended Abstracts 2022: 253:1-253:7 - [c21]Kiyanoush Nazari, Willow Mandil, Amir Masoud Ghalamzan Esfahani:
Proactive slip control by learned slip model and trajectory adaptation. CoRL 2022: 751-761 - [c20]Alessandra Tafuro, Adeayo Adewumi, Soran Parsa, Ghalamzan E. Amir, Bappaditya Debnath:
Strawberry picking point localization ripeness and weight estimation. ICRA 2022: 2295-2302 - [c19]Alessandra Tafuro, Bappaditya Debnath, Andrea M. Zanchettin, Ghalamzan E. Amir:
dPMP-Deep Probabilistic Motion Planning: A use case in Strawberry Picking Robot. IROS 2022: 8675-8681 - [c18]Willow Mandil, Kiyanoush Nazari, Amir Ghalamzan E:
Action Conditioned Tactile Prediction: case study on slip prediction. Robotics: Science and Systems 2022 - 2021
- [c17]Tommaso Pardi, Amir M. Ghalamzan E., Valerio Ortenzi, Rustam Stolkin:
Optimal grasp selection, and control for stabilising a grasped object, with respect to slippage and external forces. HUMANOIDS 2021: 429-436 - [c16]Abdalkarim Mohtasib, Amir Ghalamzan E, Nicola Bellotto, Heriberto Cuayáhuitl:
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. IJCNN 2021: 1-8 - [c15]Marta Crivellari, Oluwatoyin Sanni, Andrea M. Zanchettin, Amir Ghalamzan Esfahani:
Deep Robot Path Planning from Demonstrations for Breast Cancer Examination. TAROS 2021: 260-272 - [c14]Kiyanoush Nazari, Willow Mandill, Marc Hanheide, Amir Ghalamzan Esfahani:
Tactile Dynamic Behaviour Prediction Based on Robot Action. TAROS 2021: 284-293 - 2020
- [c13]Soran Parsa, Disha Kamale, Sariah Mghames, Kiyanoush Nazari, Tommaso Pardi, Aravinda Ramakrishnan Srinivasan, Gerhard Neumann, Marc Hanheide, Amir Ghalamzan E:
Haptic-guided shared control grasping: collision-free manipulation. CASE 2020: 1552-1557 - [c12]Sariah Mghames, Marc Hanheide, Amir Ghalamzan E:
Interactive Movement Primitives: Planning to Push Occluding Pieces for Fruit Picking. IROS 2020: 2616-2623 - [c11]Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin:
Estimating An Object's Inertial Parameters By Robotic Pushing: A Data-Driven Approach. IROS 2020: 9537-9544 - 2019
- [c10]Mario Selvaggio, Amir M. Ghalamzan E., Rocco Moccia, Fanny Ficuciello, Bruno Siciliano:
Haptic-guided shared control for needle grasping optimization in minimally invasive robotic surgery. IROS 2019: 3617-3623 - 2018
- [c9]Tommaso Pardi, Rustam Stolkin, Amir M. Ghalamzan E.:
Choosing Grasps to Enable Collision-Free Post-Grasp Manipulations. Humanoids 2018: 299-305 - 2017
- [c8]Amir M. Ghalamzan E., Firas Abi-Farraj, Paolo Robuffo Giordano, Rustam Stolkin:
Human-in-the-loop optimisation: Mixed initiative grasping for optimally facilitating post-grasp manipulative actions. IROS 2017: 3386-3393 - [c7]Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin:
Safe robotic grasping: Minimum impact-force grasp selection. IROS 2017: 4034-4041 - 2016
- [c6]Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin, Luca Baronti, Marek Sewer Kopicki, Marco Castellani:
Analysis of the inertia and dynamics of grasped objects, for choosing optimal grasps to enable torque-efficient post-grasp manipulations. Humanoids 2016: 171-178 - [c5]Amir M. Ghalamzan E., Nikos Mavrakis, Marek Sewer Kopicki, Rustam Stolkin, Ales Leonardis:
Task-relevant grasp selection: A joint solution to planning grasps and manipulative motion trajectories. IROS 2016: 907-914 - [c4]Mohammed Talha, Amir M. Ghalamzan E., Chie Takahashi, Jeffrey A. Kuo, W. Ingamells, Rustam Stolkin:
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. SSRR 2016: 166-173 - 2015
- [c3]Amir M. Ghalamzan E., Luca Bascetta, Marcello Restelli, Paolo Rocco:
Estimating a Mean-Path from a set of 2-D curves. ICRA 2015: 2048-2053 - [c2]Amir M. Ghalamzan E., Chris Paxton, Gregory D. Hager, Luca Bascetta:
An incremental approach to learning generalizable robot tasks from human demonstration. ICRA 2015: 5616-5621 - 2014
- [c1]Roberto Mura, Amir Masoud Ghalamzan Esfahani, Marco Lovera:
Robust harmonic control for helicopter vibration attenuation. ACC 2014: 3850-3855
Editorship
- 2021
- [e1]Charles W. Fox, Junfeng Gao, Amir Masoud Ghalamzan Esfahani, Mini C. Saaj, Marc Hanheide, Simon Parsons:
Towards Autonomous Robotic Systems - 22nd Annual Conference, TAROS 2021, Lincoln, UK, September 8-10, 2021, Proceedings. Lecture Notes in Computer Science 13054, Springer 2021, ISBN 978-3-030-89176-3 [contents]
Informal and Other Publications
- 2024
- [i22]Vishnu Rajendran S, Simon Parsons, Amir Ghalamzan E:
AST-2: Single and bi-layered 2-D acoustic soft tactile skin. CoRR abs/2401.14292 (2024) - [i21]Mohammad Sheikh Sofla, Hanita Golshanian, Vishnu Rajendran S, Amir Ghalamzan E:
Soft Acoustic Curvature Sensor: Design and Development. CoRR abs/2409.06395 (2024) - 2023
- [i20]Soran Parsa, Bappaditya Debnath, Muhammad Arshad Khan, Amir Ghalamzan E:
Autonomous Strawberry Picking Robotic System (Robofruit). CoRR abs/2301.03947 (2023) - [i19]Kiyanoush Nazari, Gabriele Gandolfi, Zeynab Talebpour, Vishnu Rajendran, Paolo Rocco, Amir M. Ghalamzan E.:
Deep Functional Predictive Control for Strawberry Cluster Manipulation using Tactile Prediction. CoRR abs/2303.05393 (2023) - [i18]Vishnu Rajendran S, Willow Mandil, Simon Parsons, Amir Ghalamzan E:
Acoustic Soft Tactile Skin (AST Skin). CoRR abs/2303.17355 (2023) - [i17]Muhammad Arshad Khan, Max Kenney, Jack Painter, Disha Kamale, Riza Batista-Navarro, Amir Ghalamzan E:
Natural Language Robot Programming: NLP integrated with autonomous robotic grasping. CoRR abs/2304.02993 (2023) - [i16]Vishnu Rajendran S, Bappaditya Debnath, Sariah Mghames, Willow Mandil, Soran Parsa, Simon Parsons, Amir Ghalamzan E:
Towards Autonomous Selective Harvesting: A Review of Robot Perception, Robot Design, Motion Planning and Control. CoRR abs/2304.09617 (2023) - [i15]Willow Mandil, Amir Ghalamzan E:
Combining Vision and Tactile Sensation for Video Prediction. CoRR abs/2304.11193 (2023) - 2022
- [i14]Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. López-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan E.:
Deep Movement Primitives: toward Breast Cancer Examination Robot. CoRR abs/2202.09265 (2022) - [i13]Willow Mandil, Kiyanoush Nazari, Amir Ghalamzan E:
Action Conditioned Tactile Prediction: a case study on slip prediction. CoRR abs/2205.09430 (2022) - [i12]Vishnu Rajendran S, Soran Parsa, Simon Parsons, Amir Ghalamzan Esfahani:
Peduncle Gripping and Cutting Force for Strawberry Harvesting Robotic End-effector Design. CoRR abs/2207.12552 (2022) - [i11]Alessandra Tafuro, Bappaditya Debnath, Andrea M. Zanchettin, Amir Ghalamzan E:
dPMP-Deep Probabilistic Motion Planning: A use case in Strawberry Picking Robot. CoRR abs/2208.09074 (2022) - [i10]Jack Foster, Mazvydas Gudelis, Amir Ghalamzan Esfahani:
Robotic Perception in Agri-food Manipulation: A Review. CoRR abs/2208.10580 (2022) - [i9]Kiyanoush Nazari, Willow Mandil, Amir Ghalamzan E:
Proactive slip control by learned slip model and trajectory adaptation. CoRR abs/2209.06019 (2022) - 2021
- [i8]Amir Ghalamzan E:
Learning needle insertion from sample task executions. CoRR abs/2103.07938 (2021) - [i7]Abdalkarim Mohtasib, Amir Ghalamzan E, Nicola Bellotto, Heriberto Cuayáhuitl:
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations. CoRR abs/2107.00722 (2021) - 2020
- [i6]Sariah Mghames, Marc Hanheide, Amir Ghalamzan E:
Planning Actions by Interactive Movement Primitives: pushing occluding pieces to pick a ripe fruit. CoRR abs/2004.12916 (2020) - [i5]Hamidreza Hashempour, Kiyanoush Nazari, Fangxun Zhong, Amir Ghalamzan E:
A data-set of piercing needle through deformable objects for Deep Learning from Demonstrations. CoRR abs/2012.02458 (2020) - 2019
- [i4]Tommaso Pardi, Valerio Ortenzi, Colin Fairbairn, Tony Pipe, Amir M. Ghalamzan E., Rustam Stolkin:
Maximally manipulable vision-based motion planning for robotic rough-cutting on arbitrarily shaped surfaces. CoRR abs/1909.05523 (2019) - 2017
- [i3]Amir Masoud Ghalamzan Esfahani, Firas Abi-Farraj, Paolo Robuffo Giordano, Rustam Stolkin:
Human-in-the-loop optimisation: mixed initiative grasping for optimally facilitating post-grasp manipulative actions. CoRR abs/1707.08147 (2017) - [i2]Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin:
Safe Robotic Grasping: Minimum Impact-Force Grasp Selection. CoRR abs/1707.08150 (2017) - [i1]Amir M. Ghalamzan E., Nikos Mavrakis, Rustam Stolkin:
Grasp that optimises objectives along post-grasp trajectories. CoRR abs/1712.04295 (2017)
Coauthor Index
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