This is a ppt based on my hardware project that i created in the 2nd year of my b.tech carrier
Size: 1.52 MB
Language: en
Added: Apr 26, 2024
Slides: 12 pages
Slide Content
A void obstacles
introduction 2 we will explore the design and functionality of an obstacle avoiding robot. We will discuss the challenges in navigating obstacles and the solutions offered by advanced robotics
1 Understanding obstacle avoidance Obstacle avoidance is a critical feature in autonomous robots. The robot must be able to Obstacle avoidance is a critical feature in autonomous robots. The robot must be able to detect and detect and navigate around obstacles using various navigate around obstacles using various sensors and sensors and algorithms
S ensor technology 4 Sensor Technologies Ultrasonic sensors, Ultrasonic sensors and infrared sensors, are commonly used for obstacle detection. These sensors provide crucial data for the robot to make real-time decisions in avoiding obstacles
N ative algorithm 5 Navigation algorithms such as planning, planning, path SLAM, and SLAM, and reactive control are employed to guide the robot in reactive control are employed to guide the robot in real-time obstacle avoidance. These algorithms ensure real-time obstacle avoidance. These algorithms ensure efficient and efficient and safe navigation
M echanical design 6 Mechanical Design The mechanical design of the robot plays a crucial role in its ability to avoid obstacles. Agile and mechanical design of the robot plays a crucial role in its ability to avoid obstacles. Agile and maneuverable designs enable the robot to navigate through complex environments
7 The integration of sensor data and navigation algorithms is facilitated through robust and efficient software. This integration ensures seamless obstacle avoidance in diverse environments.
Challenges in obstacle avoidance 8 Challenges in Obstacle Avoidance Obstacle avoidance presents challenges such as Obstacle avoidance presents challenges such as dynamic obstacles, dynamic obstacles, uncertain environments, and uncertain environments, and real-time decision making. Overcoming these challenges is essential for reliable robot navigation
Future developments Future advancements in obstacle-avoiding robots include Future advancements in obstacle-avoiding robots include AI-based decision making, multi-sensor fusion, and AI-based decision making, multi-sensor fusion, and adaptive navigation. These developments will enhance the adaptive navigation. These developments will enhance the autonomy and autonomy and the robots 9
applications Obstacle-avoiding robots have diverse applications, including warehouse automation, warehouse automation, search and rescue, and autonomous vehicles. These robots play a crucial role in enhancing search and rescue, and autonomous vehicles. These robots play a crucial role in enhancing safety and efficiency in various industries 10
C onclusion In conclusion, the design and functionality of obstacle-avoiding robots are crucial for autonomous navigation in complex environments. Advancements in In conclusion, the design and functionality of obstacle-avoiding robots are crucial for autonomous navigation in complex environments. Advancements in sensors, algorithms, and sensors, algorithms, and mechanical design will further enhance the capabilities of these robots 11