Papers
20
Total Citations
399
H-Index
12
About
Aaron Pereira is a robotics researcher whose work spans human-robot safety, flexible automation, and space telemanipulation. His most influential contribution lies in developing formal safety frameworks for collaborative robots: his early work on reachable sets for safety control (2015, 38 citations) and overapproximative human arm occupancy prediction (2017, 40 citations) established rigorous, provable guarantees for robots operating alongside humans—a critical challenge as industrial robots emerge from their traditional cages. These ideas were extended into practical systems, culminating in his highly cited work on self-programming, self-verifying modular robots (2019, 73 citations), which addresses the growing demand for flexible, rapidly reconfigurable automation in mass-customization manufacturing. Pereira also investigates the human side of collaboration, examining how robot movement strategies shape user trust and predictability (2017, 37 citations). Beyond factory floors, his research reaches into space exploration: he has contributed to ESA's ANALOG-1 mission and model-augmented haptic telemanipulation systems that enable astronauts to conduct geological investigations on planetary surfaces from orbit (2022, 45 citations). With over 300 cumulative citations across diverse domains, Pereira's work bridges formal verification, human factors, and frontier robotics applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Exploring planet geology through force-feedback telemanipulation from orbit45 citations · 2022
- 3Overapproximative Human Arm Occupancy Prediction for Collision Avoidance40 citations · 2017
- 4Safety control of robots under Computed Torque control using reachable sets38 citations · 2015
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- 7Online verification of multiple safety criteria for a robot trajectory21 citations · 2017
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