Demo Data from SIGIR 2026 / reviewers in the wild / expert
Nishant Pol
dblp:188/3266
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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% Motion planning and robot control · 50% | |
| Human-computer interaction and pervasive computing
1 paper |
Wearable and physiological sensing · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › actuation
pneumatic artificial muscle |
0.3 | 1 | 2017 | Design, modeling, and control of pneumatic artificial muscles with integrated soft sensing · ICRA 2017 |
Robotics › Motion planning and robot control › robot control › feedback control
position feedback control |
0.3 | 1 | 2017 | Design, modeling, and control of pneumatic artificial muscles with integrated soft sensing · ICRA 2017 |
Robotics › Motion planning and robot control
robot control |
0.3 | 1 | 2017 | Design, modeling, and control of pneumatic artificial muscles with integrated soft sensing · ICRA 2017 |
Robotics › Robot manipulation › soft robotics
soft actuator |
0.3 | 1 | 2017 | Design, modeling, and control of pneumatic artificial muscles with integrated soft sensing · ICRA 2017 |
Wearable and physiological sensing › flexible electronics
soft sensors |
0.1 | 1 | 2017 | Design, modeling, and control of pneumatic artificial muscles with integrated soft sensing · ICRA 2017 |
Methods — techniques the papers use, named apart from their topics
sliding mode control · 0.6liquid metal direct writing · 0.63d manufacturing · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Design, modeling, and control of pneumatic artificial muscles with integrated soft sensingabstractPresented are techniques for designing, modeling, and control of reliable pneumatic artificial muscle actuators with integrated low profile sensors for position feedback. The sensor is fabricated through a three-dimensional manufacturing process based on a modified lathe approach for controlling viscous and viscoelastic materials as well as on direct writing of liquid metal. Next, a new precision pneumatic muscle design and its integration with the sensor is illustrated. A theoretical model and experimental characterization of the muscle-sensor package are presented with high correlation and repeatability. Finally, a position feedback sliding mode controller is implemented with a position error of <0.9% of maximum muscle contraction. Jonathan P. King, Luis E. Valle, Nishant Pol, Yong-Lae Park |
ICRA | 3 |