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Sai Sourya Varenya Kovvali

dblp:226/6454 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—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 manipulation · 70% Legged, aerial and field robots · 30%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.312018
GraspMan - A Novel Robotic Platform with Grasping, Manipulation, and Multimodal Locomotion Capability · ICRA 2018
Robotics › Legged, aerial and field robots
locomotion
0.312018
GraspMan - A Novel Robotic Platform with Grasping, Manipulation, and Multimodal Locomotion Capability · ICRA 2018
Robotics › Robot manipulation › grasping › underactuated grasping
underactuated gripper design
0.312018
GraspMan - A Novel Robotic Platform with Grasping, Manipulation, and Multimodal Locomotion Capability · ICRA 2018
Robotics › Robot manipulation
manipulation
0.112018
GraspMan - A Novel Robotic Platform with Grasping, Manipulation, and Multimodal Locomotion Capability · ICRA 2018

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

underactuated finger design · 0.3synchronous belt drive · 0.3kinematic analysis · 0.3
YearPublicationVenuePosition
2018 GraspMan - A Novel Robotic Platform with Grasping, Manipulation, and Multimodal Locomotion Capability
abstract
In this paper, we present the design of a novel, hybrid multipurpose robotic platform equipped with a pair of graspers to synergize grasping, manipulation, and locomotion. The multipurpose grasper consists of two underactuated fingers with an active gripping surface, which passively conforms to an object while grasping. Each finger has a spring loaded synchronous belt drive which functions as the active gripping surface. The grasper is capable of handling a range of objects with irregular geometry and size. Two such underactuated graspers are connected through a serial kinematic chain and this provides the platform both manipulation and locomotion capability. Graspers act as “legs” or “wheels” of the robot during locomotion and can easily adapt to terrain variations. Fewer number of actuators, simple and scalable kinematic structure, and computationally efficient control are some of the main features of the design. Design details and kinematic analysis are presented. Experiments were conducted on a prototype robot to demonstrate multiple modes of operation.
Nagamanikandan Govindan, Sai Sourya Varenya Kovvali, Karthik Chandrasekaran, Asokan Thondiyath
ICRA2