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Anish Mampetta

dblp:95/7792 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 · 91% Robot manipulation · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › locomotion control
balance control
0.112009
State transition, balancing, station keeping, and yaw control for a dynamically stable single spherical wheel mobile robot · ICRA 2009
Robotics › Motion planning and robot control
robot control
0.112009
State transition, balancing, station keeping, and yaw control for a dynamically stable single spherical wheel mobile robot · ICRA 2009
Robotics › Motion planning and robot control › robot control › flight control
yaw control
0.112009
State transition, balancing, station keeping, and yaw control for a dynamically stable single spherical wheel mobile robot · ICRA 2009
Robotics › Robot manipulation
mobile manipulation
0.012009
State transition, balancing, station keeping, and yaw control for a dynamically stable single spherical wheel mobile robot · ICRA 2009
YearPublicationVenuePosition
2009 State transition, balancing, station keeping, and yaw control for a dynamically stable single spherical wheel mobile robot
abstract
Unlike statically stable wheeled mobile robots, dynamically stable mobile robots can have higher centers of gravity, smaller bases of support and can be tall and thin resembling the shape of an adult human. This paper concerns the ballbot mobile robot, which balances dynamically on a single spherical wheel. The ballbot is omni-directional and can also rotate about its vertical axis (yaw motion). It uses a triad of legs to remain statically stable when powered off. This paper presents the evolved design with a four-motor inverse mouse-ball drive, yaw drive, leg drive, control system, and results including dynamic balancing, station keeping, yaw motion while balancing, and automatic transition between statically stable and dynamically stable states.
Umashankar Nagarajan, Anish Mampetta, George Kantor, Ralph L. Hollis
ICRA2