Marco Negrete

About

Marco Negrete is a leading researcher in service robotics, focusing on autonomous navigation, motion planning, and intelligent decision-making for domestic and non-industrial environments. His work bridges the gap between theoretical control systems and practical robot behaviors, with key contributions in semantic reasoning, trajectory tracking, and map representation. His most cited paper, "Semantic reasoning in service robots using expert systems" (2019, 46 citations), introduces a framework for robots to interpret and act upon high-level commands in dynamic settings. He also developed a robust "Trajectory tracking nonlinear H∞ controller for wheeled mobile robots with disturbances observer" (2023, 30 citations), enhancing stability under real-world uncertainties. Negrete’s earlier work on "A Motion-Planning System for a Domestic Service Robot" (2018, 15 citations) and "Map representation using hidden Markov models for mobile robot localization" (2018, 8 citations) laid foundational methods for spatial awareness and task execution. Notably, his interdisciplinary research extends to motor rehabilitation, where he adapted Nintendo Wii technology for stroke recovery (2009, 8 citations). With over 100 total citations, Negrete’s innovative use of genetic algorithms, FPGA architectures, and unsupervised learning continues to shape the next generation of adaptive, resilient service robots.

Research Focus

Key Achievements

Top Papers

1. 1
   Semantic reasoning in service robots using expert systems

   46 citations · 2019
2. 2
   Trajectory tracking nonlinear <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si230.svg" display="inline" id="d1e1524"> <mml:msub> <mml:mrow> <mml:mi>H</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>∞</mml:mi> </mml:mrow> </mml:msub> </mml:math> controller for wheeled mobile robots with disturbances observer

   30 citations · 2023
3. 3
   A Motion-Planning System for a Domestic Service Robot

   15 citations · 2018
4. 4
   Map representation using hidden markov models for mobile robot localization

   8 citations · 2018
5. 5
   Nintendo WII remote and Nunchuck as a wireless data subsystem for digital acquisition of analog physiologic data relevant to motor rehabilitation after stroke

   8 citations · 2009
6. 6
   Generating Reactive Robots’ Behaviors using Genetic Algorithms

   4 citations · 2021
7. 7
   Configurable Mobile Robot Behaviors Implemented on FPGA Based Architectures

   3 citations · 2016
8. 8
   Sparse-Map: automatic topological map creation via unsupervised learning techniques

   2 citations · 2022
9. 9
   Fail It till You Make It: Error Expectation in Complex-Plan Execution for Service Robots

   2 citations · 2023

Key Collaborators

Contact & Links