Robotics and the Future of Fishing, Hunting and Trapping
Overview
The advent of robotics technology promises to revolutionize various sectors, including those related to fishing, hunting, and trapping. The guide explores the impact, benefits, and potential growth of this merging of technology and nature-oriented industries. Impressive statistics to note include the predicted expansion of the robotics market from $37.81 billion in 2017 to $158.21 billion by 2025, and the AI in agriculture market expected to reach $4.0 billion by 2026. The percentage of tasks performed by robots in the fishing industry could rise to 80% before the end of the decade, given the current growth trajectory.
Robotics in Fishing
Traditionally, fishing techniques have relied on manual labor and intuition. The integration of robotics technology into this sector suggests a shift towards efficiency, safety, and environmental preservation. A Meticulous Research study projects the robotics market to expand from $37.81 billion in 2017 to $158.21 billion by 2025, growing at a CAGR of 19.6%. The need for real-time decision-making in erratic waters leverages the capabilities of robotics. For instance, AI-controlled drones can survey large sea areas uncovering a potentially abundant fishing spot, reducing human error and fuel consumption.
Robotics in Hunting and Trapping
Hunting and trapping are challenging processes with an inherent uncertainty factor. Artificial Intelligence (AI) and Machine Learning (ML) technologies, as a subset of robotics, can simplify, optimize, and add precision to these activities. A report by MarketsandMarkets suggests that the AI in agriculture market, which includes hunting and trapping, would reach $4.0 billion by 2026, growing at a CAGR of 23.2%. Robotic technologies like motion detection and tracking systems could enhance the trapping process's effectiveness, minimizing unnecessary trapping and promoting humane and sustainable practices.
Key Takeaways
- Robotics technology introduces a new level of efficiency, safety, and precision in fishing, hunting, and trapping, propelling the market growth at notable rates.
- Real-time decision-making facilitated by AI-controlled drones can drastically reduce human error, fuel consumption, and improve the return on fishing missions.
- The integration of AI and ML in hunting and trapping can significantly boost the effectiveness of these processes.
About 3Laws Robotics
Addressing the rising need for advancement in robotics safety and reliability, 3Laws Robotics is paving the way with its innovative software, 3Laws Supervisor. The software is built on Control Barrier Functions (CBFs), a cutting-edge technology from Caltech that offers mathematically provable safety. 3Laws is aiming to ease the certification path, a major concern for robotics companies, while enhancing operational efficiency and safety.
3Laws Supervisor has already demonstrated its robust potential in diverse applications, from warehouse automation, human-robot interaction to dynamic environments. A case study showcases a 40% efficiency gain achieved for an autonomous forklift customer through 3Laws. Furthermore, it aims to eliminate downtime resulting from unnecessary e-stops or collisions.
With safety as a top priority, 3Laws provides real-time guardrails for autonomy stacks, allowing robots to operate closer to their peak capabilities while ensuring safety. Its software can be adapted to work with a broad range of platforms, including mobile robots, cars, drones, and manipulators, and is compatible with popular robotics middleware such as ROS and ROS2.
Positioning itself as a trailblazer in proactive safety solutions, 3Laws goes beyond traditional e-stop methods, highlighting the future of robotics with dynamic, predictive safety that can be safety certified for ISO 3691-4 and ISO 26262.