Journal of Advanced Robotics, Autonomous Systems and Human-Machine Interaction
The State of Robotic Intelligence: An Exhaustive Analysis of Learning, Control, Vision, and Safety Benchmarks (2024-2026)
Abstract
Narayana Sanghea Panchumarthy
The period spanning 2024 to 2026 marks a transformative epoch in robotics, characterized by the collapse of the traditional modular pipeline in favor of end-to-end foundation models and the emergence of standardized, large-scale benchmarks for embodied intelligence. This Transition is not merely incremental but represents a fundamental shift in how robotic agents are trained, evaluated, and deployed across industrial and domestic environments. As artificial intelligence capability accelerates, reaching a point where industry produces over 90% of frontier models, the metrics for robotic success have evolved from simple tasks completion to complex measures of cross-embodiment transfer, zero- shot generalization, and high-fidelity spatial reasoning [1].