67 citations · 71 across the 15 of their papers we have counts for
4 papers · 1 filter
FTISS Adaptive Bearing-Only Formation Tracking Control with Unknown Disturbance Rejection
Hong Liang Cheah, Mohammad Deghat
This paper proposes a finite-time input-to-state stable (FTISS) bearing-only formation control law that rejects unknown constant disturbances. Unlike existing finite-time bearing-b…
How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach
Abdulrahman Althobaiti, Angel Ayala, JingYing Gao +4
Large Language Models (LLMs) are transforming the robotics domain by enabling robots to comprehend and execute natural language instructions. The cornerstone benefits of LLM includ…
Distributed Robust Continuous-Time Optimization Algorithms for Time-Varying Constrained Cost
Zeinab Ebrahimi, Mohammad Deghat
This paper presents a distributed continuous-time optimization framework aimed at overcoming the challenges posed by time-varying cost functions and constraints in multi-agent syst…
AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks
Zeinab Ebrahimi, Gustavo Batista, Mohammad Deghat
Stochastic gradient descent (SGD) and its many variants are the widespread optimization algorithms for training deep neural networks. However, SGD suffers from inevitable drawbacks…