Mert Ali Ihsan Kalin — accepted AI-conference papers

2022

Detecting Scalable Obstacles Using Soft Sensors in the Body of a Compliant Quadruped

Doga Özbek, Talip Batuhan Yilmaz, Mert Ali Ihsan Kalin, Kutay Sentürk, Onur Özcan

RA-L 2022

In soft robotics, one of the trending topics is using soft sensors to have feedback from the robot's body. This is not an easy process to accomplish since the sensors are often nonlinear, so researchers use different methods to generate information from data such as filters, machine learning

Cited by 7 Source ↗Scholar ↗

2020

Design, Fabrication, and Locomotion Analysis of an Untethered Miniature Soft Quadruped, SQuad

Mert Ali Ihsan Kalin, Cem Aygül, Altay Türkmen, Joanna Kwiczak-Yigitbasi, Bilge Baytekin, Onur Özcan

RA-L 2020

The conventional robotics, which involves utilization of robots made out of hard materials like metals and hard plastics, has helped humankind automate many different sorts of labor and such robots have been assisting the humans in various tasks. Nevertheless, some applications require very delicate

Cited by 19 Source ↗Scholar ↗