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Ruchita Vucha

dblp:249/5658 · also Ruchitha Vucha · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—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
Robot navigation and mapping · 44% Legged, aerial and field robots · 44% Motion planning and robot control · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping › mobile robot navigation
in-pipe navigation
0.412020
Omnidirectional Tractable Three Module Robot · ICRA 2020
Robotics › Legged, aerial and field robots › wheeled mobile robot
omni-directional robot
0.412020
Omnidirectional Tractable Three Module Robot · ICRA 2020

Methods — techniques the papers use, named apart from their topics

kinematic modeling · 0.4dynamics simulation · 0.4
YearPublicationVenuePosition
2020 Omnidirectional Tractable Three Module Robot
abstract
This paper introduces the Omnidirectional Tractable Three Module Robot for traversing inside complex pipe networks. The robot consists of three omnidirectional modules fixed 120° apart circumferentially which can rotate about their own axis allowing holonomic motion of the robot. The holonomic motion enables the robot to overcome motion singularity when negotiating T-junctions and further allows the robot to arrive in a preferred orientation while taking turns inside a pipe. We have developed a closed-form kinematic model for the robot in the paper and propose the `Motion Singularity Region' that the robot needs to avoid while negotiating T-junction. The design and motion capabilities of the robot are demonstrated both by conducting simulations in MSC ADAMS on a simplified lumped-model of the robot and with experiments on its physical embodiment.
Kartik Suryavanshi, Rama Vadapalli, Ruchita Vucha, K. Madhava Krishna
ICRA3