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Anirvan Dasgupta

dblp:82/120 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
humanoid robot
0.011999
Making Feasible Walking Motion of Humanoid Robots from Human Motion Capture Data · ICRA 1999
Robotics › Legged, aerial and field robots › humanoid robot
humanoid walking
0.011999
Making Feasible Walking Motion of Humanoid Robots from Human Motion Capture Data · ICRA 1999
Robotics › Motion planning and robot control
motion planning
0.011999
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
0.011999
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
YearPublicationVenuePosition
1999 Making Feasible Walking Motion of Humanoid Robots from Human Motion Capture Data
abstract
This 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
ICRA1
1999 Generation of physically consistent interpolant motion from key frames for human-like multibody systems in flight
abstract
This 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
IROS2