Renato C. Mesquita

About

Renato C. Mesquita is a leading researcher in multi-robot systems and swarm robotics, with a primary focus on decentralized coordination, coverage, and navigation. His most influential contribution is the development of a location optimization framework for heterogeneous robot networks, where robots with different sensor footprints collaboratively cover an environment—a work that has garnered 281 citations. He extended this to address the simultaneous coverage and tracking of moving targets, a problem of critical importance for surveillance and environmental monitoring. Mesquita pioneered the use of fluid dynamics models, particularly Smoothed Particle Hydrodynamics (SPH), to design decentralized control laws for robot swarms, enabling pattern generation and obstacle avoidance in complex environments. His innovative analogy between fluids in electrostatic fields and multi-robot control has provided a robust framework for navigation in cluttered spaces. In outdoor robotics, he introduced terrain-aware motion planning that accounts for varying navigation costs across different surfaces. His work on navigation functions and potential fields has advanced the state of the art in avoiding local minima, a persistent challenge in robot navigation. With over 700 total citations, Mesquita’s research has profoundly shaped the fields of swarm intelligence and distributed robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Sensing and coverage for a network of heterogeneous robots

   281 citations · 2008
2. 2
   Simultaneous Coverage and Tracking (SCAT) of Moving Targets with Robot Networks

   121 citations · 2009
3. 3
   Swarm Coordination Based on Smoothed Particle Hydrodynamics Technique

   104 citations · 2013
4. 4
   Control of swarms based on Hydrodynamic models

   63 citations · 2008
5. 5
   Fluids in Electrostatic Fields: An Analogy for Multirobot Control

   39 citations · 2007
6. 6
   Robot navigation based on electrostatic field computation

   34 citations · 2006
7. 7
   Robot Navigation in Multi-terrain Outdoor Environments

   32 citations · 2009
8. 8
   On Computing Complex Navigation Functions

   18 citations · 2006
9. 9
   Fully continuous vector fields for mobile robot navigation on sequences of discrete triangular regions

   14 citations · 2007
10. 10
    Robot Navigation in Multi-terrain Outdoor Environments

    3 citations · 2008

Key Collaborators

Contact & Links