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Asokan Thondiyath
Researcher at Indian Institute of Technology Madras
Publications - 79
Citations - 351
Asokan Thondiyath is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Robot & Control theory. The author has an hindex of 9, co-authored 70 publications receiving 226 citations. Previous affiliations of Asokan Thondiyath include Intuitive Surgical.
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Proceedings ArticleDOI
Design and analysis of a novel quadrotor system - VOOPS
TL;DR: The objective is to increase the payload capacity of a quadrotor without increasing the overall dimension and without compromising endurance by vertically offsetting the propellers and allowing propeller overlaps so that an increase in propeller size can be achieved without any increase in the overall dimensions.
Proceedings ArticleDOI
Multibody dynamics framework for performance evaluation of an all-terrain rover
TL;DR: A framework that designers can use as a preliminary filter to evaluate and compare the performance of all-terrain rovers on uneven ground conditions is presented and the complete kinematic and quasi-static dynamic model is developed for the rover.
Book ChapterDOI
A Novel Three Degrees of Freedom Haptic Device for Rendering Texture, Stiffness, Shape, and Shear
TL;DR: This paper presents the design and development of a novel three Degrees of Freedom (DoF) tactile haptic device to acquire haptic feedback from a known virtual/remote environment and preliminary experimental results confirm the fidelity of haptic Feedback to the user while interacting with the environment.
Journal ArticleDOI
A Novel Design for a Compliant Mechanism Based Variable Stiffness Grasper Through Structure Modulation
TL;DR: A design for a soft robotic grasper using the concept of stability of truss structures that is capable of partially conforming to the surface of an object being grasped and can rapidly vary its stiffness utilizing compliant rotating elements embedded in the grasper jaws.
Proceedings ArticleDOI
GraspMan - A Novel Robotic Platform with Grasping, Manipulation, and Multimodal Locomotion Capability
TL;DR: A novel, hybrid multipurpose robotic platform equipped with a pair of graspers to synergize grasping, manipulation, and locomotion, with fewer number of actuators, simple and scalable kinematic structure, and computationally efficient control is presented.