Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kalyan K. Mankala
dblp:90/638
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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
2 papers |
Motion planning and robot control · 59% Robot manipulation · 33% Legged, aerial and field robots · 8% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Medical and health informatics · 100% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.1 | 2 | 2007 | Passive Swing Assistive Exoskeletons for Motor-Incomplete Spinal Cord Injury Patients · ICRA 2007 Dynamic Modeling and Robust Controller Design of a Two-stage Parallel Cable Robot · ICRA 2004 |
Robotics › Robot manipulation › wearable robotics › exoskeleton
exoskeleton design |
0.1 | 1 | 2007 | Passive Swing Assistive Exoskeletons for Motor-Incomplete Spinal Cord Injury Patients · ICRA 2007 |
Robotics › Robot manipulation › parallel manipulator
cable-driven parallel robot |
0.0 | 1 | 2004 | Dynamic Modeling and Robust Controller Design of a Two-stage Parallel Cable Robot · ICRA 2004 |
Robotics › Motion planning and robot control
dynamic modeling |
0.0 | 1 | 2004 | Dynamic Modeling and Robust Controller Design of a Two-stage Parallel Cable Robot · ICRA 2004 |
Robotics › Motion planning and robot control › robot control
robust control |
0.0 | 1 | 2004 | Dynamic Modeling and Robust Controller Design of a Two-stage Parallel Cable Robot · ICRA 2004 |
Medical and health informatics › medical robotics
rehabilitation robotics |
0.0 | 1 | 2007 | Passive Swing Assistive Exoskeletons for Motor-Incomplete Spinal Cord Injury Patients · ICRA 2007 |
Robotics › Legged, aerial and field robots
field robotics |
0.0 | 1 | 2004 | Dynamic Modeling and Robust Controller Design of a Two-stage Parallel Cable Robot · ICRA 2004 |
Robotics › Legged, aerial and field robots › field robotics
maritime robotics |
0.0 | 1 | 2004 | Dynamic Modeling and Robust Controller Design of a Two-stage Parallel Cable Robot · ICRA 2004 |
Methods — techniques the papers use, named apart from their topics
system dynamics · 0.1design parameter optimization · 0.1robust control · 0.0dynamic modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Passive Swing Assistive Exoskeletons for Motor-Incomplete Spinal Cord Injury PatientsabstractIn this paper, we present a passive device for swing assistance of motor-incomplete spinal cord injury patients. This device is aimed at reducing the physical demands on the therapists during treadmill training. We model the human leg as two links and a point foot mass, with a moving trunk. We employ passive elements in the design which get charged by the treadmill. Using the system dynamics, we optimize the design parameters to obtain a feasible swing motion of the leg. An exoskeleton was constructed based on these design parameters and tests were performed on a healthy subject at different treadmill speeds. Kalyan K. Mankala, Sai K. Banala, Sunil K. Agrawal |
ICRA | 1 |
| 2004 | Dynamic Modeling and Robust Controller Design of a Two-stage Parallel Cable RobotabstractCable robots have been extensively used for the loading and unloading of cargo in shipping industries. In this paper, we look at a two-stage cable robot, i.e., a cable robot with two moving platforms connected in series. Sea conditions introduce disturbance into the system. This disturbance is considered while modeling the dynamics of the two-stage cable robot. A robust controller is designed which can assure robust tracking of the desired end-effector trajectory in the presence of the disturbance. The simulation results presented show the effectiveness of the controller. Kalyan K. Mankala, Sunil K. Agrawal, James S. Albus |
ICRA | 2 |