Autonomous control systems for earthmoving equipment
Gravis Robotics retrofits heavy construction machines with autonomous navigation and control. The stack is lean and hardware-focused—C++, ROS 2, Lidar, GPS, and CAN bus—reflecting direct machine integration rather than cloud abstraction. Current pain points cluster around field deployment logistics and cross-team coordination, while projects span perception, control behavior, and customer rollouts, suggesting they're moving from lab validation toward production scaling.
Gravis Robotics builds plug-and-play autonomy systems for earthmoving equipment (excavators, graders, dozers). Founded in 2022 and based in Zurich, the company converts existing heavy machinery into teleoperated or autonomous units through onboard compute and sensor integration. The organization is engineering-heavy with active projects covering perception pipelines, machine controllers, and field deployment tooling. Operations and deployment logistics are emerging as scaling constraints as customer installations grow.
C++, Python, ROS 2, Lidar, GPS, GNSS, Git, Linux, Android, ROS, and CAN bus. The mix reflects embedded systems development and direct hardware control rather than high-level middleware.
Autonomous control kits for construction machines, environment perception and navigation, gamified remote control interfaces, real-world field testing with robotic excavators, AI-based machine control, and operational dashboards for customer deployments.
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