Jason Derenick

About

Jason Derenick is a robotics researcher whose work spans multi-robot coordination, mobile networking, and topological sensing. He is best known for his contributions to scalable control strategies for robot teams, particularly his 2007 paper "Convex Optimization Strategies for Coordinating Large-Scale Robot Formations," which has garnered over 100 citations and established convex optimization as a practical framework for real-time formation control. His early research also explored the frontier of hybrid free-space optic and radio frequency networks for mobile ad-hoc systems, producing influential work that collectively earned over 70 citations and addressed critical challenges in autonomous robot communication. Derenick's subsequent research broadened into energy-aware coverage control, where he developed distributed policies enabling robot teams to sustain persistent surveillance while managing battery constraints. His collaborative target tracking work further demonstrated his aptitude for delivering performance-guaranteed solutions in dynamic environments. More recently, he has pursued topological approaches to robot localization and coverage repair, leveraging computational homology and minimalistic sensing models to solve fundamental navigation problems. Across his career, Derenick has consistently bridged theoretical rigor with practical scalability, making his work particularly valuable to researchers designing deployable, large-scale autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Convex Optimization Strategies for Coordinating Large-Scale Robot Formations

   100 citations · 2007
2. 2
   On the deployment of a hybrid free-space optic/radio frequency (FSO/RF) mobile ad-hoc network

   51 citations · 2005
3. 3
   Energy-aware coverage control with docking for robot teams

   45 citations · 2011
4. 4
   An Optimal Approach to Collaborative Target Tracking with Performance Guarantees

   39 citations · 2009
5. 5
   Hybrid Free-Space Optics/Radio Frequency (FSO/RF) Networks for Mobile Robot Teams

   20 citations · 2005
6. 6
   A semidefinite programming framework for controlling multi-robot systems in dynamic environments

   17 citations · 2010
7. 7
   Homological sensing for mobile robot localization

   16 citations · 2013
8. 8
   Localization using ambiguous bearings from radio signal strength

   11 citations · 2011
9. 9
   Towards simplicial coverage repair for mobile robot teams

   9 citations · 2010
10. 10
    Localization using ambiguous bearings from radio signal strength

    7 citations · 2011

Key Collaborators

Contact & Links