Antonia Bronars

About

Antonia Bronars is a roboticist whose research lies at the intersection of locomotion, manipulation, and tactile sensing. She is best known for pioneering work on spherical tensegrity robots, where she developed novel control strategies enabling these compliant structures to climb steep inclined surfaces—a feat demonstrated in hardware and documented in her 2017 paper, which has garnered 41 citations. More recently, Bronars has made significant contributions to precise robotic manipulation. Her 2024 work on SimPLE introduced a visuotactile method learned entirely in simulation, enabling a robot to pick, localize, regrasp, and place objects with remarkable precision, earning 32 citations in a short time. She also developed TEXterity, a framework that fuses tactile estimation and control for in-hand object manipulation, allowing robots to reorient objects using extrinsic dexterity. Her work on autonomous assembly, from part singulation to precise placement, further showcases her drive toward general-purpose, high-precision robotic systems. With over 90 total citations and a growing portfolio of influential papers, Bronars is shaping the future of robots that can both move and manipulate with unprecedented skill.

Research Focus

Key Achievements

Top Papers

1. 1
   Inclined surface locomotion strategies for spherical tensegrity robots

   41 citations · 2017
2. 2
   SimPLE, a visuotactile method learned in simulation to precisely pick, localize, regrasp, and place objects

   32 citations · 2024
3. 3
   TEXterity: Tactile Extrinsic deXterity

   9 citations · 2024
4. 4
   Autonomous Robotic Assembly: From Part Singulation to Precise Assembly

   4 citations · 2024
5. 5
   Inclined Surface Locomotion Strategies for Spherical Tensegrity Robots

   3 citations · 2017
6. 6
   TEXterity -- Tactile Extrinsic deXterity: Simultaneous Tactile Estimation and Control for Extrinsic Dexterity

   2 citations · 2024

Key Collaborators

Contact & Links