Ajit Narayanan
Papers
8
Total Citations
43
H-Index
5
About
Ajit Narayanan’s research lies at the intersection of multi-robot systems, collision avoidance, and machine ethics, with a particular focus on developing intelligent, human-inspired control for autonomous vehicles. His most significant contributions include pioneering methods for generating collision-free paths in multi-robot environments, where he introduced novel concepts such as rectangular roundabout (“rectabout”) collision avoidance based on Minimum Enclosing Rectangle (MER) paradigms. Narayanan’s work on real-time replanning using A* algorithms has been instrumental in enabling robots to dynamically adapt to changing environments, addressing critical gaps in how sideswipe collisions are handled. With over 40 citations across his most-cited papers, his research has laid foundational groundwork for safer autonomous navigation. More recently, Narayanan has turned his attention to the pressing ethical dimensions of autonomous systems, exploring how lethal autonomous robots can learn ethics and how ethical judgment can be integrated into intelligent control systems for driverless cars. His 2023 review “Machine Ethics and Cognitive Robotics” synthesizes these concerns, marking him as a thoughtful voice in the debate over “killer robots” and responsible AI design.
Research Focus
Key Achievements
Top Papers
- 1Effective methods for generating collision free paths for multiple robots based on collision type (demonstration)9 citations · 2012
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- 4Ethical judgement in intelligent control systems for autonomous vehicles6 citations · 2019
- 5Machine Ethics and Cognitive Robotics5 citations · 2023
- 6Can Lethal Autonomous Robots Learn Ethics?2 citations · 2020
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