How Do Robots Navigate?
Have you ever been amazed by the graceful movement of robots and self-driving vehicles in unfamiliar surroundings? The latest technological advancements have introduced self-cleaning robots, autonomous vehicles with incredible navigation abilities. This entails navigating through unfamiliar surroundings, capturing clear video footage, and performing processing at the edge. What's truly remarkable is their ability to navigate perfectly in low ambient conditions and even with poor GPS signals. Read more to delve deeper into how these robots/ self-driving vehicles move effortlessly and respond without any delay!
How do we navigate? We see, sense, and rely on our memory to reach the known destination. But what about navigating in an unknown environment with lousy lighting conditions and poor GPS connectivity? In such situations, we look for landmarks or some markers to reach the destination. Likewise, to ensure accurate navigation, robots and self-driving vehicles rely on their vision and senses. Robots and autonomous vehicles leverage embedded vision and digital imaging to create or update maps of unfamiliar or indoor spaces for precise inside-out tracking.
To read the full article, click here
Related Semiconductor IP
- NPU IP Core for Mobile
- NPU IP Core for Edge
- Specialized Video Processing NPU IP
- HYPERBUS™ Memory Controller
- AV1 Video Encoder IP
Related Blogs
- How many cameras do we need? 29 says Waymo.
- What's a memory booster, and how does it ease SoC bottlenecks
- How Does Short-Reach Connectivity Transcend Physical and Power Limits?
- How does Post-Quantum Cryptography affect the TLS protocol?
Latest Blogs
- Cadence Extends Support for Automotive Solutions on Arm Zena Compute Subsystems
- The Role of GPU in AI: Tech Impact & Imagination Technologies
- Time-of-Flight Decoding with Tensilica Vision DSPs - AI's Role in ToF Decoding
- Synopsys Expands Collaboration with Arm to Accelerate the Automotive Industry’s Transformation to Software-Defined Vehicles
- Deep Robotics and Arm Power the Future of Autonomous Mobility