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The use of Game Theory for UAV Drons or Autonomous Systems Safety: An Overview

Discover reliable obstacle detection for autonomous mobile robots with ifm´s ODS system. Operating on the innovative O3R perception platform, this software solution utilizes the power of 2D/3D camera heads and indirect Time of Flight (ToF) technology to redefine depth perception in mobile robotics. Designed specifically for #AMR and #AGV, the ODS software streamlines development and deployment by: - eliminating false positives  - improving floor segmentation - simplifying integration processes https://lnkd.in/e78V26bi

This technology makes #autonomous cars see. Where #camera quits… #lidar excels! Check the video for more details 👇 Do you ❤️ #lidar?

Here I am delving into ROS (Robot Operating System). This is a project I worked on at the beginning to map the entire room, enabling my robot to be autonomous. It involves simulating what we would do with an actual robot to navigate itself using ROS RViz and Gazebo with lidar sensor. This is the first step in saving the map by using our keyboard to control the robot before enabling the navigation stack. #robotics #ros #autonomous #robots #programming

Explore the world of embedded control systems! 🤖 But what does this term actually mean? Is it just another tech buzzword, or is there more to it? Well, embedded control systems are those mysterious devices that bring about massive changes in industrial, automotive, and other sectors. But don't let the technical details scare you away! These systems hold the possibilities of the future and can even impact our daily lives. If you're curious about what lies behind these small yet powerful systems and what career opportunities they can offer, join us! At Techtra, our research in the field of autonomy focuses on robotics and autonomous systems, playing a vital role in creating emerging technologies. Our primary areas of interest include ground and aerial autonomous vehicles, as well as various robotic platforms. An outstanding area of focus is the development of unique, innovative drone applications and related highly integrated embedded control systems. Discover the new frontiers of technology and be part of shaping the future at Techtra! 💡https://lnkd.in/dN9936rA

🚀 Exciting News Announcement! 🌐 🔍 Unveiling MIT Lincoln Laboratory: The Vanguard of Autonomous Systems Development 🤖💡 We are thrilled to introduce our latest article on The Quantified World: "Unveiling MIT Lincoln Laboratory: The Vanguard of Autonomous Systems Development." This compelling piece offers an exclusive look into the groundbreaking work being done at MIT Lincoln Laboratory in advancing the frontier of autonomous systems. Join us as we explore the cutting-edge research, groundbreaking technologies, and visionary initiatives that have established MIT Lincoln Laboratory as a global leader in the field of autonomy. From unmanned aerial vehicles (UAVs) and autonomous robots to intelligent systems and human-machine collaboration, this article showcases the diverse applications and transformative potential of autonomous technologies. Whether you're a technology enthusiast, a researcher, or an industry professional, "MIT Lincoln Laboratory" offers invaluable insights into the future of autonomous systems development and its profound impact on society. Read the full article now on The Quantified World and discover how MIT Lincoln Laboratory is shaping the future of autonomy: https://lnkd.in/dcur3SYh #MITLincolnLab #AutonomousSystems #Innovation #Technology #AI #Robotics #TheQuantifiedWorld

Developing autonomous flight control systems is a complex and multifaceted endeavor that involves a combination of hardware and software technologies to enable aircraft or drones to operate without human intervention. Here’s a comprehensive guide to the key aspects of developing autonomous flight control systems: 1. Understanding Autonomous Flight Control Definition: Autonomous flight control refers to the ability of an aircraft or drone to navigate and control its flight path automatically, using onboard systems and algorithms to make real-time decisions without human input. Goals: The primary goals include safe navigation, obstacle avoidance, efficient flight path planning, and reliable performance in various environmental conditions. 2. Key Components of Autonomous Flight Control Systems a. Sensors Types: Sensors provide critical data about the environment and the vehicle’s status. Common sensors include: GPS: For position tracking and navigation. Inertial Measurement Units (IMUs): For detecting changes in velocity and orientation. b. Actuators Types: Actuators control the movement of the aircraft’s control surfaces or motors. Servos: For controlling ailerons, elevators, and rudders in fixed-wing aircraft. Motors: For controlling rotor blades in drones. Thrusters: For propulsion in various types of autonomous vehicles. Precision: High precision and reliability are essential for maintaining stable flight and executing complex maneuvers. c. Flight Control Algorithms Autonomous Navigation: Algorithms for path planning and navigation ensure that the vehicle can reach its destination efficiently while avoiding obstacles. Path Planning: Algorithms such as A* or D* for determining optimal routes. Trajectory Generation: For smooth and efficient movement between waypoints. 3. Development Phases a. Research and Design Feasibility Study: Assess the technical and regulatory feasibility of the autonomous flight system. System Architecture: Design the overall system architecture, including hardware and software components. **4. Challenges and Considerations a. Safety and Reliability Redundancy: Implement redundancy and fail-safe mechanisms to ensure safety in case of component failure. Robustness: Design systems to handle various environmental conditions and unexpected situations.

A recent article by McKinsey & Company discussing a 2023 survey regarding advanced driver-assistance systems (ADAS), shows that two-thirds of respondents see “improved safety as a key consideration” for consumers. https://dow.inc/3xOHJPI At Dow, we prioritize delivering #ADAS options that are highly efficient while upholding the utmost safety standards for all individuals on the road. Cameras, radar, LIDAR and other sensors in ADAS help drivers foresee and evade dangers. These technologies are made possible through innovative #silicone materials designed to withstand real-world challenges. Explore Dow ADAS technologies today: https://dow.inc/3xXlCH1 Dow MobilityScience #MobilityScience

Optimal Trajectory Planning for Autonomous Parking