Solomon to tackle machine perception

Add TT as Preferred Source Solomon Technology Corp (所羅門) is expanding its artificial intelligence (AI)-powered systems for humanoid robots, with chairman Johnny Chen (陳政隆) saying that the company aims to address one of the biggest hurdles to wider adoption — machine perception. Rather than.

The company is also applying the technology to drones, autonomous mobile robots (AMRs) and industrial inspection systems. In an interview, Chen cited an intelligent drone inspection system for solar farms in southern Taiwan as one of Solomon’s latest commercial applications.

What Happened

Drones equipped with the company’s 3D machine vision and AI software can automatically detect obstructions on solar panels that reduce power generation, he said. The drones identify potential problems during aerial inspections and transmit high-resolution images to maintenance crews, allowing faults to.

• AI software for humanoid robots is advancing more quickly than hardware, and broader commercial adoption is likely to begin in 2028, Chen said.

• Taiwanese manufacturers already have strengths in key humanoid robot components, including gear reducers, joint modules, sensors and servo motors, although opportunities remain to develop complete robotic systems, Chen said.

• He expects logistics and warehousing to be among the first sectors to deploy the technology, with hybrid robots featuring a humanoid upper body and wheeled base likely to meet operational and safety requirements more.

Key Details

The same AI vision technology has also been deployed in AMRs, robotic arms, pan-tilt-zoom cameras and quadruped robots used in industrial inspection projects in markets including the US and Japan, he said. Humanoid robots must combine three core capabilities to perform practical.

• Unlike many industry demonstrations that rely on edited videos or remote control, Solomon’s robot completed the tasks autonomously after receiving human instructions, the company said.

• During a rare public demonstration at its headquarters, Solomon showcased a bipedal humanoid robot that received spoken or written instructions, located an object about five meters away using its vision system, moved toward it.

• The approach enables robots to identify objects from several meters away before moving closer, reducing unnecessary movement and improving accuracy, Chen said.

Why It Matters

Although advances in large language models and vision-language models have improved robots’ ability to understand instructions, perception remains a major challenge because robots still struggle to identify distant or partially obscured objects in complex environments, he said.

• The company has also developed an “active perception” system that replaces conventional single-image recognition with a continuous cycle of searching, selecting, zooming and evaluating before searching again if necessary.

• To address the problem, Solomon has developed generative AI vision technology that uses synthetic images to train AI models, reducing training time while improving robots’ ability to recognize unfamiliar objects and adapt to different.

What Reports Say

Coverage of the story so far points to:

• Continued reporting by Taipei Times as more details emerge