default search action
Amir M. Ghalamzan E.
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j14]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) - [j13]Vishnu Rajendran S, Bappaditya Debnath, Sariah Mghames
, Willow Mandil, Soran Parsa
Towards autonomous selective harvesting: A review of robot perception, robot design, motion planning and control. J. Field Robotics 41(7): 2247-2279 (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) - [c27]Vishnu Rajendran S, Willow Mandil, Kiyanoush Nazari
Acoustic Soft Tactile Skin (AST Skin). ICRA 2024: 4105-4111 - [c26]Vishnu Rajendran S, Simon Parsons, Amir M. Ghalamzan E.:
Single and Bi-Layered 2-D Acoustic Soft Tactile Skin. RoboSoft 2024: 133-138 - [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
- [j11]Rahaf Rahal
Haptic-guided grasping to minimise torque effort during robotic telemanipulation. Auton. Robots 47(4): 405-423 (2023) - [j10]Willow Mandil, Vishnu Rajendran, Kiyanoush Nazari
Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation. Sensors 23(17): 7362 (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 - [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
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
- [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
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
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 - [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
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
Proactive slip control by learned slip model and trajectory adaptation. CoRR abs/2209.06019 (2022) - 2021
- [j9]Amir Ghalamzan E, Kiyanoush Nazari
Deep-LfD: Deep robot learning from demonstrations. Softw. Impacts 9: 100087 (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
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
Tactile Dynamic Behaviour Prediction Based on Robot Action. TAROS 2021: 284-293 - [e1]Charles W. Fox
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] - [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
- [j8]Tommaso Pardi
Planning Maximum-Manipulability Cutting Paths. IEEE Robotics Autom. Lett. 5(2): 1999-2006 (2020) - [c13]Soran Parsa
Haptic-guided shared control grasping: collision-free manipulation. CASE 2020: 1552-1557 - [c12]Sariah Mghames
Interactive Movement Primitives: Planning to Push Occluding Pieces for Fruit Picking. IROS 2020: 2616-2623 - [c11]Nikos Mavrakis
Estimating An Object's Inertial Parameters By Robotic Pushing: A Data-Driven Approach. IROS 2020: 9537-9544 - [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)
2010 – 2019
- 2019
- [j7]Ronghua Shang, Yang Meng
Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning. Mach. Learn. 108(4): 659-686 (2019) - [c10]Mario Selvaggio, Amir M. Ghalamzan E.
Haptic-guided shared control for needle grasping optimization in minimally invasive robotic surgery. IROS 2019: 3617-3623 - [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) - 2018
- [j6]Ronghua Shang, Bingqi Du, Kaiyun Dai, Licheng Jiao
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.
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
A self-paced learning algorithm for change detection in synthetic aperture radar images. Signal Process. 142: 375-387 (2018) - [c9]Tommaso Pardi, Rustam Stolkin, Amir M. Ghalamzan E.
Choosing Grasps to Enable Collision-Free Post-Grasp Manipulations. Humanoids 2018: 299-305 - 2017
- [j3]Ronghua Shang, Huan Liu, Licheng Jiao
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
Guiding Trajectory Optimization by Demonstrated Distributions. IEEE Robotics Autom. Lett. 2(2): 819-826 (2017) - [j1]Ronghua Shang
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) - [c8]Amir M. Ghalamzan E.
Human-in-the-loop optimisation: Mixed initiative grasping for optimally facilitating post-grasp manipulative actions. IROS 2017: 3386-3393 - [c7]Nikos Mavrakis
Safe robotic grasping: Minimum impact-force grasp selection. IROS 2017: 4034-4041 - [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) - 2016
- [c6]Nikos Mavrakis
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.
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.
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
- [b1]Amir Masoud Ghalamzan Esfahani:
Towards robot learning from demonstration: a view inspired from observational learning. Polytechnic University of Milan, Italy, 2015 - [c3]Amir M. Ghalamzan E.
Estimating a Mean-Path from a set of 2-D curves. ICRA 2015: 2048-2053 - [c2]Amir M. Ghalamzan E.
An incremental approach to learning generalizable robot tasks from human demonstration. ICRA 2015: 5616-5621 - 2014
- [c1]Roberto Mura, Amir Masoud Ghalamzan Esfahani
Robust harmonic control for helicopter vibration attenuation. ACC 2014: 3850-3855
Coauthor Index
aka: Willow Mandil
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 20:26 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: