Research & Innovation
Research & Innovation
Building the science that makes physical AI programmable, auditable, and deployable across human environments.
Our Research Focus Areas
We concentrate on the hardest problems in embodied AI: making robots safe teammates, enabling natural human collaboration, and guaranteeing performance in messy real-world environments.
Physical AI Safety & Assurance
We design runtime safety envelopes, fail-safe policies, and verification tooling so embodied AI behaves predictably in high-stakes industrial environments.
Human-Robot Collaboration
Our researchers build collaborative interfaces, shared autonomy pipelines, and telepresence loops that allow operators to orchestrate robots with conversational and gesture-based intent.
LLM-Driven Embodied Agents
We explore how large language models plan and ground actions in the physical world, combining task decomposition, tool-use, and guardrails for mission-critical operations.
Edge Autonomy & Deterministic Compute
From compiler optimizations to adaptive scheduling, we ensure mission plans execute with microsecond-level determinism on heterogeneous edge hardware.
Sim-to-Real Validation Pipelines
High-fidelity digital twins, domain randomization, and hardware-in-the-loop rigs allow us to promote skills from simulation to production with measurable confidence.
Multi-Modal Perception & Sensor Fusion
We fuse vision, LiDAR, thermal, acoustic, and industrial telemetry to build resilient situational awareness under harsh factory and outdoor conditions.
Autonomous Operations Lifecycle
Lifecycle platforms for deployment, monitoring, drift detection, and continuous improvement keep fleets compliant while learning in production.
Research Impact & Outcomes
- Certification-ready safety cases for autonomous systems, aligned with IEC 61508 and ISO 10218 standards
- Patent pending approaches for closed-loop human-in-the-loop teleoperation and shared autonomy
- Published open-source tooling for digital twin calibration and sim-to-real regression testing
- Joint field deployments with aerospace, energy, and manufacturing leaders proving safe physical AI at scale
- Academic collaborations exploring embodied LLMs, tactile sensing, and cooperative manipulation