Lightweight Smart Sense-and-Avoid Module for Low-Altitude Agricultural UAVs
Reactive, Plug-and-Play Sense-and-Avoid System for Pixhawk-Based UAVs in Precision Agriculture.
Projects in autonomous robotics, UAVs, and intelligent perception.
Reactive, Plug-and-Play Sense-and-Avoid System for Pixhawk-Based UAVs in Precision Agriculture.
Developed a multimodal framework combining UAV multispectral imagery, weather data, and machine learning to estimate onion diseases and pest incidence.
Evaluation of a feedback-based visual-inertial system across structured and unstructured simulated environments.
UAV multispectral imaging and deep learning for surface oil and water leak detection.
Vehicle-aware path planning and obstacle avoidance for multi-robot patrolling.
Tactile-sensor-based slip detection and grip control for robotic grasping.
Sensor fusion and LiDAR-based obstacle avoidance for autonomous ground robots.
Tactile-to-haptic interface for telerobotic touch feedback.
Real-time object detection and tracking for ATM surveillance.
Robotic manipulator control and grasping for autonomous beach cleaning.
Motion planning and control for robotic manipulation and hand control.
EMG-based pattern recognition for real-time prosthetic hand control.