Satyam Kumar’s rise from rural Bihar to elite research labs in the United States has emerged as one of the most remarkable academic journeys. Known fo.

Machines are moving beyond single-point sensing. Multi-sensor fusion now delivers vision, ranging and inertial data. The ...

Let's discuss four trends that will redefine how robots create value — from smarter math and cooperative behaviors to ...

Industry 5.0 marks a shift from purely automation driven manufacturing toward human-centric, resilient, and intelligent production systems. In this ...

For most patients, a diagnosis is just the beginning of an uncertain journey filled with long wait times, fragmented ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Japanese researchers develop an adaptive robot motion system that enables human-like grasping using minimal training data.

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

Dhruv Shenai investigates how machine learning and lab automation are transforming materials science at Cambridge ...

Abstract: This article presents a method for learning well-coordinated human–robot interaction (HRI) from human–human interactions (HHI). We devise a hybrid approach using hidden Markov models (HMMs) ...

CES 2026 wrapped with humanoid robots, consumer robotics, Chinese manufacturers in force, and AI integrated into displays, ...