activity
20192026
most citedReclaiming saliency: rhythmic precision-modulated action and perception

2 citations · 8 across the 10 of their papers we have counts for

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cs.RO2026

Expected Free Energy-based Informative Path Planning for Robotic Mars Exploration

Ajith Anil Meera, Pablo Lanillos, Wouter Kouw

An autonomous robot efficiently exploring an unknown environment, such as looking for water sources on Mars, faces two simultaneous demands: building an accurate information map wh…

cs.RO2025

Robot Metacognition: Decision Making with Confidence for Tool Invention

Ajith Anil Meera, Poppy Collis, Polina Arbuzova +4

Robots today often miss a key ingredient of truly intelligent behavior: the ability to reflect on their own cognitive processes and decisions. In humans, this self-monitoring or me…

cs.RO2025

Designing Tools with Control Confidence

Ajith Anil Meera, Abian Torres, Pablo Lanillos

Prehistoric humans invented stone tools for specialized tasks by not just maximizing the tool's immediate goal-completion accuracy, but also increasing their confidence in the tool…

cs.RO20241 cited

Confidence-Aware Decision-Making and Control for Tool Selection

Ajith Anil Meera, Pablo Lanillos

Self-reflecting about our performance (e.g., how confident we are) before doing a task is essential for decision making, such as selecting the most suitable tool or choosing the be…

cs.RO20222 cited

Reclaiming saliency: rhythmic precision-modulated action and perception

Ajith Anil Meera, Filip Novicky, Thomas Parr +3

Computational models of visual attention in artificial intelligence and robotics have been inspired by the concept of a saliency map. These models account for the mutual informatio…

cs.RO20211 cited

Free Energy Principle for State and Input Estimation of a Quadcopter Flying in Wind

Fred Bos, Ajith Anil Meera, Dennis Benders +1

The free energy principle from neuroscience provides a brain-inspired perception scheme through a data-driven model learning algorithm called Dynamic Expectation Maximization (DEM)…