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Amir Salimi Lafmejani

5 accepted papers

2022

Compensating for Material Deformation in Foldable Robots via Deep Learning ― A Case Study

ICRA 2022poster

Foldable, origami-inspired, and laminate mechanisms are highly susceptible to deformation under external loading, which can lead to position or orientation errors if idealized kinematic models are used. According to dimensional scaling laws, laminate devices can often be treated as rigid bodies at m…

Cited by 1SourceScholar
2022

NMPC-LBF: Nonlinear MPC with Learned Barrier Function for Decentralized Safe Navigation of Multiple Robots in Unknown Environments

IROS 2022poster

In this paper, we present a decentralized control approach based on a Nonlinear Model Predictive Control (NMPC) method that employs barrier certificates for safe navigation of multiple nonholonomic wheeled mobile robots in unknown environments with static and/or dynamic obstacles. This method incorp…

Cited by 16SourceScholar
2021

Adaptation of Gradient-Based Navigation Control for Holonomic Robots to Nonholonomic Robots

RA-L 2021

In this letter, we propose a gradient-based nonlinear control approach for stabilizing a nonholonomic Wheeled Mobile Robot (WMR) to a target position in environments with and without obstacles. This approach enables any gradient-based feedback control law (with bounded or unbounded gradients) develo

Cited by 21SourceScholar
2020

H∞-Optimal Tracking Controller for Three-Wheeled Omnidirectional Mobile Robots with Uncertain Dynamics

IROS 2020poster

In this paper, we present an optimal control approach using Linear Matrix Inequalities (LMIs) for trajectory tracking control of a three-wheeled omnidirectional mobile robot in the presence of external disturbances on the robot's actuators and noise in the robot's sensor measurements. First, a state…

Cited by 6SourceScholar
2020

Kinematic Modeling and Trajectory Tracking Control of an Octopus-Inspired Hyper-Redundant Robot

RA-L 2020

This letter addresses the kinematic modeling and control of hyper-redundant robots inspired by the octopus arm. We propose a discrete multi-segment model in which each segment is a 6-DoF Gough-Stewart parallel platform. Our model is novel in that it can reproduce all generic motions of an octopus ar

Cited by 41SourceScholar