Edoardo Lamon
Post Doc
About
Edoardo Lamon is a PhD candidate at the Human-Robot Interfaces and Physical Interaction (HRI²) group at the Italian Institute of Technology (IIT), Genoa, and at the Department of Information Engineering, University of Pisa, Italy. He received a B.Sc. degree in Information Engineering and M.Sc. degree in Control and Automation Engineering from University of Padova, Italy. His research focus on combining lean manufacturing and robotics knowledge, with the aim to boost collaborative robotics in smart factories. His interests lie in human-robot collaboration, robot control and learning.
IIT Publications
- 2023
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DOI
An ergonomic role allocation framework for dynamic human–robot collaborative tasks
Journal of Manufacturing Systems, vol. 67, pp. 111-121 -
DOI
Design of an Energy-Aware Cartesian Impedance Controller for Collaborative Disassembly
Proceedings - IEEE International Conference on Robotics and Automation, vol. 2023-May, pp. 7483-7489 -
DOI
Energy Efficient Multi-Robot Task Allocation Constrained by Time Window and Precedence
IEEE Transactions on Automation Science and Engineering - 2022
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DOI
A Hierarchical Finite-State Machine-Based Task Allocation Framework for Human-Robot Collaborative Assembly Tasks
IEEE International Conference on Intelligent Robots and Systems, vol. 2022-October, pp. 10238-10244 -
DOI
A Hybrid Learning and Optimization Framework to Achieve Physically Interactive Tasks With Mobile Manipulators
IEEE Robotics and Automation Letters, vol. 7, (no. 3), pp. 8036-8043 -
DOI
Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptation
Proceedings - IEEE International Conference on Robotics and Automation, pp. 2825-2831 -
DOI
Enhancing Flexibility and Adaptability in Conjoined Human-Robot Industrial Tasks with a Minimalist Physical Interface
Proceedings - IEEE International Conference on Robotics and Automation, pp. 8061-8067 - 2021
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DOI
A Human-Aware Method to Plan Complex Cooperative and Autonomous Tasks using Behavior Trees
IEEE-RAS International Conference on Humanoid Robots, vol. 2021-July, pp. 522-529 -
DOI
An integrated dynamic method for allocating roles and planning tasks for mixed human-robot teams
2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021, pp. 534-539 -
DOI
Unified Approach for Hybrid Motion Control of MOCA Based on Weighted Whole-Body Cartesian Impedance Formulation
IEEE Robotics and Automation Letters, vol. 6, (no. 2), pp. 3505-3512 - 2020
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DOI
A Collaborative Robotic Approach to Autonomous Pallet Jack Transportation and Positioning
IEEE Access, vol. 8, pp. 142191-142204 -
DOI
A visuo-haptic guidance interface for mobile collaborative robotic assistant (MOCA)
IEEE International Conference on Intelligent Robots and Systems, pp. 11253-11260 -
DOI
Low-cost scalable people tracking system for human-robot collaboration in industrial environment
Procedia Manufacturing, vol. 51, pp. 116-124 -
DOI
MOCA-MAN: A MObile and reconfigurable Collaborative Robot Assistant for conjoined huMAN-robot actions
Proceedings - IEEE International Conference on Robotics and Automation, pp. 10191-10197 -
DOI
Towards an Intelligent Collaborative Robotic System for Mixed Case Palletizing
Proceedings - IEEE International Conference on Robotics and Automation, pp. 9128-9134 - 2019
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DOI
A Capability-Aware Role Allocation Approach to Industrial Assembly Tasks
IEEE Robotics and Automation Letters, vol. 4, (no. 4), pp. 3378-3385 -
DOI
A Collaborative Robotic Approach to Gaze-Based Upper-Limb Assisted Reaching
IWOBI 2019 - IEEE International Work Conference on Bioinspired Intelligence, Proceedings, pp. 63-68 -
An Augmented Reality Interface for Improving Task Performance in Close-Proximity Teleoperation
Istituto di Robotica e Macchine Intelligenti 3D -
DOI
An Intuitive Augmented Reality Interface for Task Scheduling, Monitoring, and Work Performance Improvement in Human-Robot Collaboration
IWOBI 2019 - IEEE International Work Conference on Bioinspired Intelligence, Proceedings, pp. 75-80 -
DOI
Towards a Prolonged Productivity in Industry 4.0: A Framework for Fatigue Minimisation in Robot-Robot Co-Manipulation
IEEE-RAS International Conference on Humanoid Robots, vol. 2018-November, pp. 684-689
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Scientific Talks
- 2021
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An integrated dynamic method for allocating roles and planning tasks for mixed human-robot teams
- 2020
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A visuo-haptic guidance interface for mobile collaborative robotic assistant (MOCA)
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Towards an Intelligent Collaborative Robotic System for Mixed Case Palletizing
- 2019
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A Capability-Aware Role Allocation Approach to Industrial Assembly Tasks
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Towards a Prolonged Productivity in Industry 4.0: A Framework for Fatigue Minimisation in Robot-Robot Co-Manipulation