Manohar Kuse
AI Product & Robotics Systems Engineer
I build perception-driven robotics software that has to perform outside the lab.
I am based in Zurich. I currently work at P8S. P8S builds warehouse automation with mobile robots, smart containers, process stations, and AI software. The system connects inbound, storage, picking, and delivery. My focus there is practical robotics and perception software with production-grade reliability. Before this, I worked at Magic Leap, an AR hardware and software company, on headpose and relocalization. I also worked at Rovenso, a Swiss ground-robotics company (now continued as Wayout Robotics), on navigation, control, and sensor fusion for autonomous robots.
I like taking systems from idea to release. I start with clear metrics. Then I improve failure behavior and keep the codebase maintainable for the team that runs it. This site is my technical notebook: projects, experiments, and lessons learned.
How I Can Help a Team
- I build SLAM, relocalization, and sensor-fusion modules that stay reliable in real operating conditions, not just demos.
- I turn algorithms into production code with clear interfaces, measurable KPIs, and repeatable validation.
- I can work across the stack as needed: perception modules, hardware-facing drivers, CAD mounts/fixtures, data processing pipelines, and frontend/operator tooling.
Profiles
What I Build
Perception, SLAM & Sensor Fusion
Visual-inertial SLAM, relocalization, pose estimation, and multi-sensor fusion for robotics and AR systems.
AI/ML Inference
Learning-based perception modules and inference pipelines that can run within real-time product constraints.
Product Integration & Engineering Tooling
I build the glue around core algorithms: service layers, KPI/telemetry pipelines, and operator-facing tools that help teams ship and support systems in production.
Industry Snapshot
Senior Robotics & Perception Software Engineer focused on practical perception software with production-grade reliability.
Worked on headpose systems: visual-inertial SLAM KPI reporting/performance analysis, relocalization, and 3D kinematics for sensor fusion on non-inertial bases.
Built ground-robot docking, path-planning, and controller stacks; added deployment configuration workflows, robotics UI components, and sensor-fusion pipelines.
Core Stack
Also used in robotics estimation work: GTSAM, Ceres Solver, Eigen, OpenGV, PCL, RViz.
Engineering Approach
- I work from measurable behavior first: define expected latency, stability, and failure modes, then validate against data.
- I design for operability, not just demos: clear logs, reproducible runs, versioned configs, and straightforward rollback paths.
- I prefer small, testable increments that reduce integration risk and keep system behavior understandable as complexity grows.
Work Highlights
Education
Electronics and Computer Engineering (ECE)
The Hong Kong University of Science and Technology (HKUST), 2019
Computer and Communication Engineering (CCE)
The LNM Institute of Information Technology (LNMIIT), 2012