Humanoids and the Future of Robotic Sensors
Overview This information guide discusses the future progression of humanoids and the significant role of robotic sensors in these innovations. Statistics featured in this guide include data on global robotics spending, projections of an increase in service robot unity, the anticipated market growth in humanoid robotics, and the expected growth in obstacle-detection sensors.
Global Robotics Spending In 2020, worldwide spending on robotics systems and drones was estimated to reach $128.7 billion annually, showcasing an increase of 17.1% over the previous year. Robotic systems continue to become more integrated into society, with humanoid robots being a significant part of that increase.
Service Robot Units According to the International Federation of Robotics, the number of service robot units sold in the world surged by 32% to approximately 170,000 units in 2019, with a growth of 61% in sales by value. This is a testament to the rising importance and value of humanoid robotics and robotics in general.
Market Growth in Humanoid Robotics The global humanoid robot market was around $700 million in 2018 and is anticipated to grow at a CAGR of 40.2% over the forecast period from 2019 to 2025. This growing market for humanoid robots is driven in large part by massive advancements in sensor technology, allowing robots to interact more naturally and safely with their environment and human compatriots.
Growth in Obstacle-Detection Sensors Especially relevant to the safety of humanoid robots is the growth of the obstacle-detection sensor market. The obstacle-detection sensor market is expected to witness a CAGR of over 9% during the forecast period (2021 - 2026). The growth in this sector signifies the increasing emphasis on human safety in the design and deployment of humanoid robots.
Key Takeaways - The robotics industry is continuously growing, reflected by the rise in global robotics spending - The sale of service robot units is experiencing significant growth, driven in part by advances in sensor technologies - The humanoid robot market is set to grow substantially within the forecast period, substantially impacting the robotics industry's landscape - The increased growth of the obstacle-detection sensor market indicates a vital focus on safety in humanoid robotic design and implementation
3Laws Robotics 3Laws is pioneering software to increase the safety and reliability of robotics systems. A sizable challenge for many robotics companies is certification. The innovative software designed by 3Laws, known as 3Laws Supervisor, is designed to simplify this process by providing robust safety advances and evidence of system sturdiness, thereby potentially facilitating the certification route.
3Laws’ Supervisor, developed on a technology called Control Barrier Functions (CBFs) that was initially established at Caltech, provides mathematically assured safety.
This software is suitable for various use cases across diverse industries and applications, including warehouse automation, where it led to a 40% efficiency gain. It also enables safe and uninterrupted operation of robots near humans, which addresses a need in human-robot interaction. It can effectively help robots navigate in dynamic environments with its reactive collision avoidance capabilities.
The main aim of 3Laws is to enhance operational efficiency by reducing downtime caused by unnecessary e-stops or collisions. By providing real-time guardrails for autonomy stacks, it allows robots to operate closer to their peak capacities while maintaining safety.
3Laws software is versatile and can work with a variety of platforms like mobile robots, cars, drones, and manipulators, and is also compatible with popular robotics middleware like ROS and ROS2.
3Laws should be considered as a next-generation safety solution that surpasses the traditional e-stop methods. It presents a proactive approach to safety that can unleash the full potential of robotics with dynamic and predictive safety, and can be safety certified for ISO 3691-4 and ISO 26262.