Miguel Aranda

About

Miguel Aranda is a robotics researcher whose work spans two interconnected domains: multi-robot coordination and deformable object manipulation. His earlier contributions focused on vision-based control for robot formations, pioneering the use of aerial cameras—including UAVs—as distributed control units to coordinate ground robots into desired configurations. His 2015 paper on UAV-assisted formation control (80 citations) stands as his most influential work, while complementary studies on visual rendezvous, 3D target enclosing, and adaptive enclosure with unicycle robots further cemented his expertise in multi-agent systems. More recently, Aranda has emerged as a leading voice in shape servoing for deformable objects, tackling one of robotics' most complex manipulation challenges. His contributions include monocular visual shape tracking for isometrically deforming objects, as-rigid-as-possible shape servoing frameworks (39 citations), and lattice-based approaches for elastic object control. He has also explored reinforcement learning methods—notably multi actor-critic DDPG—to handle large deformations in soft linear objects without requiring precise physical models. With over 300 cumulative citations across a decade of research, Aranda's work bridges classical control theory and modern data-driven robotics, offering practical advances in agricultural automation, industrial manipulation, and autonomous multi-robot systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Formation Control of Mobile Robots Using Multiple Aerial Cameras

   80 citations · 2015
2. 2
   Adaptive Multirobot Formation Planning to Enclose and Track a Target With Motion and Visibility Constraints

   53 citations · 2019
3. 3
   As-Rigid-as-Possible Shape Servoing

   39 citations · 2022
4. 4
   Visual Control for Multirobot Organized Rendezvous

   26 citations · 2012
5. 5
   Monocular Visual Shape Tracking and Servoing for Isometrically Deforming Objects

   25 citations · 2020
6. 6
   Three-dimensional multirobot formation control for target enclosing

   25 citations · 2014
7. 7
   Lattice-Based Shape Tracking and Servoing of Elastic Objects

   20 citations · 2023
8. 8
   Adaptive Deformation Control for Elastic Linear Objects

   16 citations · 2022
9. 9
   Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects

   15 citations · 2023
10. 10
    Simultaneous shape control and transport with multiple robots

    15 citations · 2020

Key Collaborators

Contact & Links