Ariel Anders

About

Ariel Anders is a robotics researcher whose work bridges the gap between cutting-edge multi-robot coordination and accessible STEM education. Her primary research areas span multi-robot planning under uncertainty, robot manipulation, and educational robotics. Anders made a significant impact with her work on MacDec-POMDPs, introducing a principled framework for multi-robot cooperative planning that accounts for stochasticity, uncertain sensing, and communication limitations—a contribution that has garnered over 80 citations across two related papers. She also advanced manipulation research by exploring conformant planning to reliably arrange objects despite sensing and control uncertainty, and by developing strategies for whole-arm grasping. Perhaps her most notable achievement is the creation of the MIT Beaver Works Summer Institute Robotics Program, where she pioneered a project-based, collaborative curriculum that has high school students programming self-driving race cars. This innovative educational initiative has been cited over 100 times and has inspired a new generation of roboticists. Anders’ work demonstrates a rare ability to advance both the theoretical foundations of robotics and its practical, inspiring applications.

Research Focus

Key Achievements

Top Papers

1. 1
   Project-based, collaborative, algorithmic robotics for high school students: Programming self-driving race cars at MIT

   104 citations · 2017
2. 2
   Policy search for multi-robot coordination under uncertainty

   48 citations · 2016
3. 3
   Policy Search for Multi-Robot Coordination under Uncertainty

   36 citations · 2015
4. 4
   Reliably Arranging Objects in Uncertain Domains

   12 citations · 2018
5. 5
   Learning a strategy for whole-arm grasping

   3 citations · 2014
6. 6
   Reliably arranging objects : a conformant planning approach to robot manipulation

   2 citations · 2019

Key Collaborators

Contact & Links