M.R. Dindarloo — accepted AI-conference papers

2023

Graph-Based Visual-Kinematic Fusion and Monte Carlo Initialization for Fast-Deployable Cable-Driven Robots

R. Khorrambakht, H. Damirchi, M.R. Dindarloo, A. Saki, S.A. Khalilpour, Hamid D. Taghirad +1

IROS 2023poster

Ease of calibration and high-accuracy task-space state-estimation purely based on onboard sensors is a key requirement for enabling easily deployable cable robots in real-world applications. In this work, we incorporate the onboard camera and kinematic sensors to drive a statistical fusion framework…

Cited by 2 Source ↗Scholar ↗

2022

An Observer-Based Responsive Variable Impedance Control for Dual-User Haptic Training System

A. Rashvand, R. Heidari, M. Motaharifar, A. Hassani, M.R. Dindarloo, M. J. Ahmadi +3

IROS 2022poster

This paper proposes a variable impedance control architecture to facilitate eye surgery training in a dual-user haptic system. In this system, an expert surgeon (the trainer) and a novice surgeon (the trainee) collaborate on a surgical procedure using their own haptic devices. The mechanical impedan…

Cited by 3 Source ↗Scholar ↗