Jeevan Hebbal Manjunath
Robotics and autonomous systems
Hometown: Bangalore, Karnataka, India
Graduation date: Spring 2026
Additional details: First-generation college student
MORE | Spring 2025
Adaptive Quadruped with Sensor Fusion for Precise Multi-Sensor Data Collection and Analysis
This research is aimed at collecting multimodal sensor data to enhance robotic mobility and decision-making. Visual data, including RGB (red, green, blue) and camera depth information, will aid in object detection and terrain mapping. Inertial measurement units (IMUs) will provide accelerometer and gyroscope data for motion estimation and stability control. Ultrasonic sensors will measure distances for obstacle avoidance. Fused data from these sources, processed using Kalman filtering, will enable accurate pose estimation, velocity tracking, and gait analysis. Additional force and environmental sensors may improve adaptability, optimizing control for stability and efficiency in dynamic environments.
Mentor: Daniel Aukes
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