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Simon Lemerle

dblp:229/8082 · DBLP profile ↗
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3ranked-venue papers
2as first author
1since 2021 · last 2025
0000-0001-9262-2605ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 70% Motion planning and robot control · 30%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
compliant actuation
0.912025
Design, Characterization, and Validation of a Variable Stiffness Prosthetic Elbow · IEEE Trans. Robotics 2025
Robotics › Robot manipulation › wearable robotics
prosthetic device
0.912025
Design, Characterization, and Validation of a Variable Stiffness Prosthetic Elbow · IEEE Trans. Robotics 2025
Robotics › Robot manipulation › actuator design › compliant actuator
variable stiffness actuation
0.912025
Design, Characterization, and Validation of a Variable Stiffness Prosthetic Elbow · IEEE Trans. Robotics 2025
Robotics › Robot manipulation
physical human-robot interaction
0.312025
Design, Characterization, and Validation of a Variable Stiffness Prosthetic Elbow · IEEE Trans. Robotics 2025

Methods — techniques the papers use, named apart from their topics

variable stiffness actuator design · 0.9agonist-antagonist layout · 0.9
YearPublicationVenuePosition
2025 Design, Characterization, and Validation of a Variable Stiffness Prosthetic Elbow
abstract
Intuitively, prostheses with user-controllable stiffness could mimic the intrinsic behavior of the human musculoskeletal system, promoting safe and natural interactions and task adaptability in real-world scenarios. However, prosthetic design often disregards compliance because of the additional complexity, weight, and needed control channels. This article focuses on designing a variable stiffness actuator (VSA) with weight, size, and performance compatible with prosthetic applications, addressing its implementation for the elbow joint. While a direct biomimetic approach suggests adopting an agonist-antagonist (AA) layout to replicate the biceps and triceps brachii with elastic actuation, this solution is not optimal to accommodate the varied morphologies of residual limbs. Instead, we employed the AA layout to craft an elbow prosthesis fully contained in the user's forearm, catering to individuals with distal transhumeral amputations. In addition, we introduce a variant of this design where the two motors are split in the upper arm and forearm to distribute mass and volume more evenly along the bionic limb, enhancing comfort for patients with more proximal amputation levels. We characterize and validate our approach, demonstrating that both architectures meet the target requirements for an elbow prosthesis. The system attains the desired 120$^{\circ }$range of motion, achieves the target stiffness range of [2, 60] N$\cdot$m/rad, and can actively lift up to 3 kg. Our novel design reduces weight by up to 50% compared to existing VSAs for elbow prostheses while achieving performance comparable to the state of the art. Case studies suggest that passive and variable compliance could enable robust and safe interactions and task adaptability in the real world.
Giuseppe Milazzo, Simon Lemerle, Giorgio Grioli, Antonio Bicchi, Manuel G. Catalano
IEEE Trans. Robotics2
2019 A Variable Stiffness Elbow Joint for Upper Limb Prosthesis
abstract
One of the main research trends toward next-generation prostheses and bionic aids is to better replicate human motor behaviours and to improve the interconnection with the human sensory-motor architecture. One of the natural characteristics of the human arm of utmost importance in our interaction with the environment is our ability to vary the mechanical impedance of our joints by commanding the co-contraction of antagonist muscles. Integration in prostheses of such features is currently under studies. The introduction of physical variable impedance in the mechatronic structure of the devices could at the same time improve interaction and robustness and allow for more sophisticated controls with the goal of naturalness of motion. The system proposed in this paper is a variable stiffness elbow joint for upper limb prostheses that reproduces mechanical abilities of the human joint, in terms of performance, inherent compliance and natural behaviour. This variable stiffness mechanism can be actively controlled by the user, and by using an agonist-antagonistic configuration of proper elastic elements, its output functions are similar to the models of the human muscle. The design and mechanical implementation of the device are detailed in this document together with its experimental validation and characterisation.
Simon Lemerle, Giorgio Grioli, Antonio Bicchi, Manuel G. Catalano
IROS1
2018 Design and Evaluation of a Remote Actuated Finger Exoskeleton Using Motion-Copying System for Tendon Rehabilitation
abstract
Hand recovery process is a major issue in the rehabilitation field as hands are vital to perform most daily activities. This paper presents the design and evaluation of a one actuated degree-of-freedom exoskeleton finger using flexible actuator to assist patients in rehabilitation process and more specifically in tendon recovery protocols. The control strategy based on the motion-copying system is used to be able to take advantages of the sensation of the patient. The wearability and adaptability of the device are improved, compared to other specific devices, mainly by the use of remote actuation and light-weight materials. Evaluation of the device in terms of wearability, adaptability, repeatability and accuracy of the position estimation are conducted. All these criteria are confirmed. The next step is to test the device in actual recovery protocols to evaluate its efficiency.
Simon Lemerle, Takahiro Nozaki, Kouhei Ohnishi
IEEE Trans. Ind. Informatics1