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Srinivasan A. Suresh

dblp:164/8518 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0001-6029-7414ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 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 · 62% Legged, aerial and field robots · 38%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.212015
μTugs: Enabling microrobots to deliver macro forces with controllable adhesives · ICRA 2015
Robotics › Legged, aerial and field robots
field robotics
0.112015
μTugs: Enabling microrobots to deliver macro forces with controllable adhesives · ICRA 2015
Robotics › Legged, aerial and field robots › mobile robot locomotion
microrobot locomotion
0.112015
μTugs: Enabling microrobots to deliver macro forces with controllable adhesives · ICRA 2015

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

shape memory alloy actuation · 0.2piezoelectric actuation · 0.2electromagnetic actuation · 0.2
YearPublicationVenuePosition
2020 Tactile Sensing and Terrain-Based Gait Control for Small Legged Robots
abstract
For small legged robots, ground contact interactions significantly affect the dynamics and locomotion performance. In this article, we designed thin, robust capacitive tactile sensors and applied them to the feet of a small hexapod with C-shaped rotating legs. The sensors measure contact forces as the robot traverses different types of terrain including hard surfaces with high or low friction, sand, and grass. Different gaits perform best on different types of terrain. Useful measured parameters include the magnitude and timing of the peak normal forces, in combination with the leg rotational velocity. The measured parameters were used in a support vector machine classifier to identify terrain types with 82.5% accuracy. Based on gait performance studies, we implemented a terrain-based gait control using real-time terrain classifications. A surface transitioning test shows 17.1% increase in body speed and 13.2% improvement in efficiency as the robot adjusts its gait.
Xin Alice Wu, Tae Myung Huh, Aaron Sabin, Srinivasan A. Suresh, Mark R. Cutkosky
IEEE Trans. Robotics4
2015 μTugs: Enabling microrobots to deliver macro forces with controllable adhesives
abstract
The controllable adhesives used by insects to both carry large loads and move quickly despite their small scale inspires the μTug robot concept. These are small robots that can both move quickly and use controllable adhesion to apply interaction forces many times their body weight. The adhesives enable these autonomous robots to accomplish this feat on a variety of common surfaces without complex infrastructure. The benefits, requirements, and theoretical efficiency of the adhesive in this application are discussed as well as the practical choices of actuator and robot working surface material selection. A robot actuated by piezoelectric bimorphs demonstrates fast walking with a no-load rate of 50 Hz and a loaded rate of 10 Hz. A 12 g shape memory alloy (SMA) actuated robot demonstrates the ability to load more of the adhesive enabling it to tow 6.5 kg on glass (or 500 times its body weight). Continuous rotation actuators (electromagnetic in this case) are demonstrated on another 12 g robot give it nearly unlimited work cycles through gearing. This leads to advantages in towing capacity (up to 22 kg or over 1800 times its body weight), step size, and efficiency. This work shows that using such an adhesive system enables small robots to provide truly human scale interaction forces, despite their size and mass. This will enable future microrobots to not only sense the state of the human environment in which they operate, but apply large enough forces to modify it in response.
David L. Christensen, Elliot Wright Hawkes, Srinivasan A. Suresh, Karen Ladenheim, Mark R. Cutkosky
ICRA3
2015 Tactile sensing for gecko-inspired adhesion
abstract
Adhesion quality sensing is critical to the performance of any robot that utilizes gecko-inspired dry adhesives for climbing, perching, or grasping. We present a 3-axis tactile sensor designed for this application that demonstrates performance on par with a large commercial load cell while being compact enough to integrate into a robot foot. The sensor can measure spatially distributed force loads and demonstrates high sensitivity in both shear and normal components. Results showcase the sensor's ability to detect a variety of unreliable contact and loading conditions before the onset of adhesion failure.
Xin Alice Wu, Srinivasan A. Suresh, Hao Jiang 0002, John Ulmen, Elliot Wright Hawkes, David L. Christensen, Mark R. Cutkosky
IROS2