Amir M. Ghalamzan E.

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Arbitrarily Shaped

Tactile Sensing

External Forces

Top Venues

Publications

Vishnu Rajendran S, Simon Parsons, Amir M. Ghalamzan E.
Single and Bi-Layered 2-D Acoustic Soft Tactile Skin. RoboSoft (2024)
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)
Vishnu Rajendran S, Simon Parsons, Amir M. Ghalamzan E.
Acoustic Soft Tactile Skin: Towards Continuous Tactile Sensing. ICAR (2023)
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) (2023)
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 (2023)
Oluwatoyin Sanni, Giorgio Bonvicini, Muhammad Arshad Khan, Pablo C. Lopez-Custodio, Kiyanoush Nazari, Amir M. Ghalamzan E.
Deep Movement Primitives: toward Breast Cancer Examination Robot. CoRR (2022)
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)
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)
Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin
Estimating An Object's Inertial Parameters By Robotic Pushing: A Data-Driven Approach. IROS (2020)
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 (2019)
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)
Amir M. Ghalamzan E., Matteo Ragaglia
Robot learning from demonstrations: Emulation learning in environments with moving obstacles. Robotics Auton. Syst. 101 (2018)
Tommaso Pardi, Rustam Stolkin, Amir M. Ghalamzan E.
Choosing Grasps to Enable Collision-Free Post-Grasp Manipulations. Humanoids (2018)
Amir M. Ghalamzan E., Nikos Mavrakis, Rustam Stolkin
Grasp that optimises objectives along post-grasp trajectories. CoRR (2017)
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)
Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin
Safe robotic grasping: Minimum impact-force grasp selection. IROS (2017)
Nikos Mavrakis, Amir M. Ghalamzan E., Rustam Stolkin
Safe Robotic Grasping: Minimum Impact-Force Grasp Selection. CoRR (2017)
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)
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)
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)
Amir M. Ghalamzan E., Luca Bascetta, Marcello Restelli, Paolo Rocco
Estimating a Mean-Path from a set of 2-D curves. ICRA (2015)
Amir M. Ghalamzan E., Chris Paxton, Gregory D. Hager, Luca Bascetta
An incremental approach to learning generalizable robot tasks from human demonstration. ICRA (2015)