2024-02-18
New robotics trends for 2024
As robots become commonplace across more industries, the sector continues evolving in exciting new directions that promise to transform how we work and live. In its latest report, the International Federation of Robotics (IFR) highlighted five key trends driving wider robotics adoption through new capabilities and expanding applications.
AI and Machine Learning Usher in Smarter, More Intuitive Robots
Artificial intelligence, particularly innovations in machine learning, remains one of the hottest areas within robotics. Generative AI that can produce novel outputs after “learning” from vast datasets now allows robots to be programmed using natural language. Workers no longer need specialized coding skills to train robots to perform various tasks.
AI is also enabling predictive maintenance where algorithms proactively identify systems needing repairs based on performance data. This minimizes costly downtime across factory floors. More data further improves AI, driving demand for “digital twins” – virtual models of physical assets like production lines used to run simulations and optimize operations without real-world risks.
Collaborative Robots Spread to New Industries
Sales of collaborative robots, or “cobots”, continue accelerating as the technology proves itself across more applications. Easy to implement and able to adapt to changing conditions via sensors and vision systems, cobots can take over strenuous, repetitive, or dangerous work to better support human teams. This helps solve labor shortages by making roles less physically intensive.
Whereas cobots previously focused on assembly, new platforms specialized for other tasks like welding are emerging. Combined with autonomous mobile robots in “mobile manipulators”, cobots promise to automate more supply chain and warehouse roles down the line.
Mobile Manipulators Handle Logistics Among Other Tasks
Speaking of mobile manipulators, these robots merging cobot arms with self-driving bases also made the IFR’s list. Transporting items around warehouses or factories, manipulating objects with dexterous grippers, and even operating machinery via attached tools, mobile manipulators wield more flexibility than static platforms.
Their ability to collaborate with people while taking over mundane material transport is key. This builds on momentum for autonomous mobile robots now deployed across leading retailers like Walmart and ecommerce firms such as Amazon. Adding manipulation broadens use cases – even inspecting and maintaining other equipment.
Digital Twins Optimize Performance Via Virtual Testing
Digital twins are virtual models mirroring the full details of a physical asset like a robot or full production line. Robotics grows more digitally interconnected from the factory floor to business operations. Digital twins leverage resulting data flows to power dynamic simulations that assess optimizations and predict future issues before they happen.
Companies can experiment freely and fix problems virtually before ever touching a running production line, saving significant downtime and maintenance costs. As robots depend more on software updates to improve, digital twins become invaluable for managing that complexity.
More Human-Like Robots Poised for Widespread Adoption
Finally, the IFR highlighted ongoing improvements in humanoid robots. While still early compared to other categories, bipedal robot platforms offering greater autonomy, more dependable navigation, and two multi-jointed arms are slowly marching into real operations.
Their human shape allows seamless integration since they can traverse spaces designed for people and interact via familiar physical movements. Early adopters include retail stores and reception areas, but scaled deployment isn’t far off.
Shore Up Labor Gaps While Increasing Productivity
Rather than displace jobs as some fear, the IFR noted how these robotics trends are well-positioned to address labor shortages in manufacturing while making processes far more efficient. AI and digital tools even remove barriers that previously made automation complicated for small and mid-sized organizations.
As next-gen platforms prove increasingly intuitive and adaptable, robots will continue spreading across the global economy in the years ahead. While progress raises valid questions about employment impacts and other changes, it seems the benefits outweigh potential pitfalls if addressed carefully.
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