Demo Data from VLDB 2026 / reviewers in the wild / expert
Abhay Paranjape
dblp:83/2871
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2006
—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 |
Motion planning and robot control · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
collision avoidance |
0.1 | 1 | 2006 | Perceptual Navigation Strategy for Mobile Robots Intercepting Ground Balls · ICRA 2006 |
Robotics › Motion planning and robot control › motion planning › online motion planning
moving-object interception |
0.1 | 1 | 2006 | Perceptual Navigation Strategy for Mobile Robots Intercepting Ground Balls · ICRA 2006 |
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing |
0.1 | 1 | 2006 | Perceptual Navigation Strategy for Mobile Robots Intercepting Ground Balls · ICRA 2006 |
Methods — techniques the papers use, named apart from their topics
optical acceleration cancellation · 0.1lateral alignment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Perceptual Navigation Strategy for Mobile Robots Intercepting Ground BallsabstractThis paper presents a new human-based navigation model to guide a mobile robot to intercept ground balls. The new model consists of two strategies: the optical acceleration cancellation (OAC) model, and the lateral alignment strategy. The OAC model uses a linearly decreasing cotangent function of the gaze angle to reduce the distance between the robot and the target on the ground. It determines a set of possible robot positions on the horizontal plane at every time instant. The robot laterally aligns with the target when it moves to the side. The lateral alignment strategy determines a unique robot position at each time instant. The new navigation strategy provides a simple and fast algorithm to navigate mobile robots in an open field to intercept ground balls. Visual servo controllers were designed and simulated. A high-speed mobile robot was developed to conduct interception experiments Zheng Wang 0028, Abhay Paranjape, Thomas Sugar, Michael K. McBeath |
ICRA | 2 |