Foundation Models
Developing next-generation language models with enhanced reasoning, multi-modal understanding, and agentic capabilities for autonomous decision-making.
Advancing the frontiers of artificial intelligence through groundbreaking research in foundation models, computer vision, brain-computer interfaces, and embodied AI for physical robotics.
Research Papers Published
Patents Filed
Researchers & Engineers
Open Science Commitment
Our research spans multiple disciplines, pushing the boundaries of what's possible in AI and robotics
Developing next-generation language models with enhanced reasoning, multi-modal understanding, and agentic capabilities for autonomous decision-making.
Advanced perception systems for biometric recognition, emotion analysis, motion tracking, and 3D scene understanding in real-time environments.
Neural signal processing, intent detection, and adaptive algorithms for seamless human-machine communication through direct brain signals.
Physical intelligence for humanoid robots, including motor control, proprioception, and adaptive behavior in complex real-world environments.
Advanced RL algorithms for robotics, multi-agent systems, and autonomous navigation with safety guarantees and efficiency optimization.
Model optimization, quantization, and deployment strategies for running advanced AI models on resource-constrained edge devices.