← Search

Srinivasan A. Suresh

8 accepted papers

2019

Capacitive Sensing for a Gripper With Gecko-Inspired Adhesive Film

RA-L 2019

We present a capacitive sensor suitable for a gripper that uses thin films of gecko-inspired adhesives. The sensor is fabricated directly on the films and measures the area over which the adhesive makes intimate contact. In experiments, a new underactuated gripper uses adhesive films to acquire and

Cited by 52SourceScholar
2019

Low-Cost, Continuously Variable, Strain Wave Transmission Using Gecko-Inspired Adhesives

RA-L 2019

In robotics, high gear reductions are often required when using an electromagnetic motor to drive revolute joints, as in a humanoid robot. Strain wave gears (SWGs), also known as harmonic drives, are often used. However, these transmissions are relatively expensive and have a fixed gear ratio. Here,

Cited by 10SourceScholar
2018

A Soft Robotic Gripper With Gecko-Inspired Adhesive

RA-L 2018

Previous work has demonstrated the versatility of soft robotic grippers using simple control inputs. However, these grippers still face challenges in grasping large objects and in achieving high-strength grasps. This work investigates the combination of fluidic elastomer actuators and gecko-inspired

Cited by 301SourceScholar
2018

Active Sensing for Measuring Contact of Thin Film Gecko-Inspired Adhesives

RA-L 2018

Active sensing provides a way to assess whether a thin film of gecko-inspired adhesive has made good contact with a surface. This knowledge is useful for applications like gripping objects in space where a failed grasp could lead to loss of the object. Our active sensing approach uses Lamb waves in

Cited by 11SourceScholar
2017

Incipient Slip Detection and Recovery for Controllable Gecko-Inspired Adhesion

RA-L 2017

We present work on incipient slip sensing and recovery for controllable gecko-inspired adhesives. The approach is based on the relationship between changes in real contact area and maximum shear force. Using signals from an on-board tactile sensor, we detect the onset of adhesive failure and execute

Cited by 12SourceScholar
2016

Let's All Pull Together: Principles for Sharing Large Loads in Microrobot Teams

RA-L 2016

We present a simple statistical model to predict the maximum pulling force available from robot teams. The expected performance is a function of interactions between each robot and the ground (e.g., whether running or walking). We confirm the model with experiments involving impulsive bristlebots, s

Cited by 20SourceScholar
2015

Tactile sensing for gecko-inspired adhesion

IROS 2015poster

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 com…

Cited by 30SourceScholar
2015

μTugs: Enabling microrobots to deliver macro forces with controllable adhesives

ICRA 2015poster

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 ena…

Cited by 52SourceScholar