Demo Data from SIGIR 2026 / reviewers in the wild / expert
Levi Pearson
dblp:203/5064
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2
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 · 50% Legged, aerial and field robots · 50% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › undulatory locomotion
peristaltic locomotion |
0.3 | 1 | 2017 | Design, modeling and control of a SMA-actuated biomimetic robot with novel functional skin · ICRA 2017 |
Robotics › Robot manipulation
soft robotics |
0.3 | 1 | 2017 | Design, modeling and control of a SMA-actuated biomimetic robot with novel functional skin · ICRA 2017 |
Medical and health informatics
medical robotics |
0.1 | 1 | 2017 | Design, modeling and control of a SMA-actuated biomimetic robot with novel functional skin · ICRA 2017 |
Methods — techniques the papers use, named apart from their topics
shape memory alloy actuation · 0.6fuzzy control · 0.6finite element analysis · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | System Identification and Closed-Loop Control of a Hydraulically Amplified Self-Healing Electrostatic (HASEL) ActuatorabstractThis paper describes a system identification method and the development of a closed-loop controller for a Hydraulically Amplified Self-healing Electrostatic (HASEL) actuator. Our efforts focus on developing a reliable and consistent way to identify system models for these soft robotic actuators using high-speed videography based motion tracking. Utilizing a mass-spring-damper model we are able to accurately capture the behavior of a HASEL actuator. We use the resulting plant model to design a Proportional-Integral controller that demonstrates improved closed-loop tracking and steady-state error performance. Cosima Schunk, Levi Pearson, Eric Acome, Timothy G. Morrissey, Nikolaus Correll, Christoph Keplinger, Mark Rentschler, James Sean Humbert |
IROS | 2 |
| 2017 | Design, modeling and control of a SMA-actuated biomimetic robot with novel functional skinabstractTraditional colonoscopy requires highly trained personnel to be performed. Additionally, current devices may cause discomfort and carry the risk of perforating the bowel wall. In this paper, a soft three modular section robot is designed, modeled, controlled and tested. Each of the robotic sections has three degrees of freedom, one translation and two rotations. The robot uses a peristaltic motion to translate, inspired by the motion generated by the bowel. The robot uses nine independently controlled Shape Memory Alloy (SMA) springs as its actuators and a novel silicone rubber skin provides the passive recovery force to expand the springs to their original state. It also incorporates three air tubes, one for each section, to provide forced convection reducing the cooling time of the SMA springs. A parametric study on the skin curvature and thickness using Finite Element Analysis (FEA) is performed to maximize traction while providing enough recovery force. A multi-input multi-output (MIMO) controller based on fuzzy control is designed and implemented for each of the sections allowing the robot to achieve any orientation between −90° and +90° in both pitch and roll in less than 4 seconds with near zero steady state error. Both the peristaltic motion and the orientability of the robot are tested. The robot is able to perform a peristaltic motion with maximum speed of 4 mm/s (24 cm/min) and an average speed of 2.2 cm/min. Each section is also able to follow, with less than 2% overshoot and near zero steady-state error, periodic multi-input squared signals of 25° of amplitude. Joan Ortega Alcaide, Levi Pearson, Mark Rentschler |
ICRA | 2 |