Autonomous robots and drones for industrial inspection and monitoring
ERIC Robotics builds autonomous mobile robots and drones for industrial inspection. The stack reveals a production-grade robotics operation: ROS 2, C++, Python, LiDAR, and NVIDIA Jetson for edge inference, plus MLflow and Weights & Biases for model tracking. Pain points cluster around a critical gap—field trial data doesn't align with ML model performance, and ensuring data quality remains a bottleneck. The hiring mix (8 engineers, split between interns and mid-level) and active project list (sensor calibration, field testing, deployment SOPs) suggest a company scaling from prototype validation into production deployment.
ERIC Robotics designs and develops autonomous mobile robots and drones for industrial inspection and monitoring use cases. The company operates out of Pune, India, and was founded in 2022 as a Premier Seals India initiative focused on R&D-driven robotics development. With 11–50 employees, the organization is engineering-led and actively hiring across robotics software, perception, and deployment roles. Current work spans the full data cycle—from annotation and field testing through to robotic software deployment and system validation—with emphasis on translating trial data into reliable ML models for customer field conditions.
ROS 2, C++, Python, LiDAR, RViz, Gazebo, Docker, NVIDIA Jetson, Open3D, ONNX, TensorRT, MLflow, Weights & Biases, gRPC, Protocol Buffers, ZeroMQ, and CUDA for robotics software, perception, and inference.
Full data cycle management, sensor calibration, field testing, robotic software deployment, end-to-end system validation, and deployment standard operating procedures for autonomous robots in industrial inspection.
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