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Articles by Karthi Gopalan
Renesas: 200 analoga kretsar gör humanoiden intelligent
AI-verktyg kan skriva kod på sekunder, men i säkerhetskritiska system är det inte själva kodningen som är den stora utmaningen. Det avgörande är att kunna visa att koden uppfyller kraven, följer rätt standarder och kan spåras hela vägen från krav till test. En AI-styrd robot kan verka mycket intelligent – tills en felaktig signal får den att fatta fel beslut. En robotarm som mäter sin position fel med en bråkdel av en grad kan gripa fel komponent.
How Knowledge Distillation Brings AI to Industrial Edge Devices
Industrial edge AI systems often need to make fast decisions based on analog sensor inputs, such as temperature, vibration, or pressure, right where the data is collected. However, many endpoints, which include sensors, motor controllers, and other small devices on the edge of the network, cannot support large AI models, high-bandwidth data movement, or processor-centric response loops.
Beyond Silicon: Humanoid Robotics Design Is a Team Sport
Two megatrends—an aging global labor force and rapidly evolving AI infrastructure—are fueling the humanoid robotics market, with a consensus CAGR of roughly 35% through 2035. To sustain that blistering pace, the electronics industry must accelerate the transition from intelligent edge computing to physical AI in order to enable machines capable of perception and real-world decision making—without relying on the cloud. But that’s not all.
New Analog Chief Underscores Breadth, Depth, and a Heavy Dose of Customer Design Support
As a longtime provider of analog and mixed-signal technologies, Renesas has helped open new markets from advanced automotive safety and industrial robotics to AI-enhanced consumer electronics and communications infrastructure.
From Intelligent Edge to Physical AI: Why Humanoid Robotics is the Next Opportunity for Renesas
The field of humanoid robotics is one of the most dynamic and expansive innovation opportunities of the century. Concurrent breakthroughs in AI, embedded computing, sensing, motion control, and power efficiency are fueling growth projections that could double annually through the end of the decade. And long-term expectations are even more ambitious, with humanoid robot deployments potentially reaching one billion by 2050. For Renesas, this is more than the emergence of a new product category.
Dexterity in Robotics: Helping Hands
The acceleration in technological growth and research drives growing adoption and interest in leveraging new capabilities to enhance and supplement existing processes and workflows, especially in the field of robotics. Robots have existed since the 1950's, with one of the first industrial robots, Unimate, being a hydraulic manipulator arm patented in 1953 and installed at a General Motors plant in 1961.
Ki Wireless Docking and Charging for Humanoid Robots
A Docking-Based Charging Model for Humanoids As humanoid robots move beyond research labs into real-world deployment, system designers face a new set of expectations across a wide range of environments. These robots are increasingly being considered for use in homes, industrial facilities, and commercial spaces such as restaurants, hospitals, and warehouses.
Energy Harvesting, Digital Isolation & IoT
We live in a connected world with tens of billions of IoT devices, soon trillions that reside in wired & wireless domains. We have a tremendous opportunity to transform how we live and work and strive to improve productivity to make the world better and safer! The presentation will demonstrate how intelligent energy harvesting and innovative digital isolation solutions can have a big impact: For wireless IoT, energy harvesting has the potential to up the power sustainably.
Best Practices in Power Electronics
Designing power electronics comes with the challenge of making a robust statement regarding the lifetime of the final design. A precise estimation needs to consider the thermal performance which in turn demands to exactly know the performance of the power component in use. Dynamic losses need to be measured in a characterization setup to predict switching losses during operation and a load profile needs to be available to start the calculations.
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