Demo Data from EDBT 2026 / reviewers in the wild / expert
Anirvan Dasgupta
dblp:82/120
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1999
0000-0002-8430-1999ORCID · corroborated
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
1 paper |
Legged, aerial and field robots · 77% Motion planning and robot control · 23% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
humanoid robot |
0.0 | 1 | 1999 | Making Feasible Walking Motion of Humanoid Robots from Human Motion Capture Data · ICRA 1999 |
Robotics › Legged, aerial and field robots › humanoid robot
humanoid walking |
0.0 | 1 | 1999 | Making Feasible Walking Motion of Humanoid Robots from Human Motion Capture Data · ICRA 1999 |
Robotics › Motion planning and robot control
motion planning |
0.0 | 1 | 1999 | Making Feasible Walking Motion of Humanoid Robots from Human Motion Capture Data · ICRA 1999 |
Robotics › Motion planning and robot control › trajectory planning
zero-moment point trajectory generation |
0.0 | 1 | 1999 | Making Feasible Walking Motion of Humanoid Robots from Human Motion Capture Data · ICRA 1999 |
Methods — techniques the papers use, named apart from their topics
motion capture data adaptation · 0.0joint motion correction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Making Feasible Walking Motion of Humanoid Robots from Human Motion Capture DataabstractThis work presents a study of the human/humanoid locomotion system and a method for adaptation of the human motion capture data (HMCD) for driving a humanoid robot. The analysis uses the previously defined concept of the zero moment point (ZMP) which provides a basis for the adaptation of the HMCD. An appropriate model of the robot foot, in agreement with the HMCD, is proposed. This model is used to plan a desired ZMP trajectory. A scheme for approximately matching the actual ZMP trajectory to the desired ZMP trajectory, through periodic joint motion correction at selected joints, is discussed. A method for resolving the ground reaction forces at the foot is also proposed. Anirvan Dasgupta, Yoshihiko Nakamura |
ICRA | 1 |
| 1999 | Generation of physically consistent interpolant motion from key frames for human-like multibody systems in flightabstractThis paper proposes an approach for generating a physically consistent trajectory from a few key frames of flight motion of a human-like multibody system. Systems in flight are subject to angular momentum conservation, a nonholonomic constraint, and linear momentum conservation. In the proposed approach, motion of one of the links is first generated independently. The motion of all other links is planned appropriately to satisfy the constraints of motion. This work has potential applications ranging from designing dynamic animations to planning free flight motion for humanoid robots. Yoshihiko Nakamura, Anirvan Dasgupta |
IROS | 2 |