Paper Details
Advanced Sensor Technologies in Autonomous Robots: Improving Real-time Decision Making and Environmental Interaction
Authors
Shashank Pasupuleti
Abstract
The integration of advanced sensor technologies has revolutionized the capabilities of autonomous robots, enabling them to make real-time decisions and interact dynamically with their environment. Key sensor technologies such as LiDAR, cameras, ultrasonic sensors, IMUs, and force sensors provide critical data that helps robots navigate, avoid obstacles, and perform tasks autonomously. Through three case studies—LiDAR for autonomous navigation, vision and ultrasonic sensors for path planning, and force-torque sensors for robotic manipulation—we investigate how sensor fusion improves the accuracy and efficiency of robots in real-world applications. Additionally, we provide sample datasets, code snippets, and integration strategies for each case study, illustrating the practical applications of these sensor systems. This paper investigates how these technologies improve decision-making algorithms, discusses the challenges associated with their integration, and presents practical case studies that demonstrate real-time applications. Additionally, the paper explores methods of sensor fusion and provides sample code for real-time decision-making scenarios.
Keywords
Autonomous Robots, Sensor Technologies, Real-Time Decision-Making, Lidar, Cameras, Ultrasonic Sensors, Imus, Force Sensors, Sensor Fusion, Obstacle Avoidance, Task Execution, Machine Learning, Reinforcement Learning, Path Planning, Object Recognition, Deep Learning, Cnns, Sensor Calibration, Dynamic Environments, Real-Time Navigation, Robot Localization, 3D Mapping, Environmental Interaction, Robot Adaptability, Sensor Data Integration, Dynamic Path Planning, Sensor Noise, Robot Trajectory, Supervised Learning, Unsupervised Learning, Object Tracking, Force Feedback, Robotic Manipulation, Sensor Accuracy, Collision Detection, Robot Grasping, Feedback Systems, Robotic Control Systems, Autonomous Systems, Robot Behavior Learning, Environmental Mapping, Sensor Input Fusion, Robot Performance, Proximity Detection, Real-Time Obstacle Detection, Dynamic Path Replanning, Machine Learning Techniques, Robot Sensing Technologies, Autonomous Task Execution.
Citation
Advanced Sensor Technologies in Autonomous Robots: Improving Real-time Decision Making and Environmental Interaction. Shashank Pasupuleti. 2024. IJIRCT, Volume 10, Issue 6. Pages 1-10. https://www.ijirct.org/viewPaper.php?paperId=2412083