Taiwanese rocket fails to achieve Japan's first foreign launch
TiSpace, through its Japanese unit jtSPACE, tried to reach outer space 100km above the Earth's surface on the inaugural flight of its 12m, hybrid-fuelled rocket VP01 in a launch from Japan's Hokkaido Spaceport.
The rocket lifted off at 11.40am (2.40am GMT), but within a minute its trajectory turned wobbly and it went into freefall, footage from Japanese public broadcaster NHK showed.
"We are examining the situation of the flight," a spokesperson for Space Cotan, the Japanese company operating the Hokkaido Spaceport, said after the launch attempt.
The rocket did not carry a satellite, although Space Cotan has said its success would be a step toward building a satellite-launching vehicle.

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Daily Maverick
14 hours ago
- Daily Maverick
Crossed Wires: The robots are coming, the robots are here
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But robotics has been around for a very long time, since the first commercial industrial robot was developed in 1961 (the 'Unimate' at General Motors), and it's been around even longer in the human imagination. The first point of interest is that there is a profound change happening in some sectors of robot production. The original robots, most of them built for industrial manufacturing, were essentially a collection of servo motors, spherical joints, pincers, cutters, drillers, welders and the like, all operating under very precise instructions, repeating the same physical actions ad infinitum — or until their instructions were modified in line with changing production requirements. This description somewhat simplifies the intelligence built into these robots, but the key point is that the instructions for physical actions over time were predetermined and cast in silicon, driven by hardened computer code. As the technologies of vision, touch, movement, location awareness and proprioception have advanced, so have the robots undertaken more ambitious (and sometimes audacious) jobs, such as critical surgery in an operating theatre. All with increasingly exquisite sensitivity of both fine and gross motor control. This brings us to the question of which countries are currently on the robotics playing field. The US, having outsourced nearly all its manufacturing requirements during the heady days of globalisation, didn't even try to take a leadership role in robotics. Surprisingly, China is not leading either — it became serious about robotics rather too late (around 2015). Until recently, the top 10 robot manufacturers have been Japanese (8) and German (2). 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This leads to the question of how the robots are performing. Are they more productive? Are they taking jobs? The data are startling. Dispiriting for some and exciting for others, depending on what you do to earn your living. As with all transformative technologies, it's a mixed bag of pain and pleasure for those caught in its net. Here are some statistics: A 40× increase in global robot stock since 2000; A 15× increase in robots per worker since 2000; A 30% increase in productivity compared to human labour by 2030 (McKinsey); A 90% reduction in manufacturing defects (Foxconn iPhone production); A 3× decrease in the return on investment period since 2000 (down from 10 years to about three years); A 35% increase in crop yields (forecast); and A total of 85 million jobs lost by 2035, and only 20 million created (World Economic Forum). There is more, but the picture is clear. There is no stopping this train. To return to the profound change mentioned earlier in this column, the convergence of new generative AI models and robotics is going to supercharge the industry. The core foundation of robots following a precise set of instructions (albeit often complex) is being reshaped. Robots are now being built that can learn autonomously and continuously from their environments (sight, audio, touch, 'smell', heat, humidity). They can be addressed via vernacular human speech, learn from their mistakes, communicate to solve problems with other robots and access vast stores of knowledge now available from companies like OpenAI. (For anyone looking for a glimpse of the future, watch this 2.5-minute video; take note of how the robots communicate with each other.) At this point, the ghost of Isaac Asimov might raise its head. We are already on the edge of AI systems that can set their own goals. We have already seen indications of deceptive behaviour by these systems, in both controlled and uncontrolled experiments. Bad behaviour and misinformation (such as Grok's racist outbursts) are now part of the AI landscape. Asimov's famous three laws of robotics come to mind: protect humans, obey humans, protect yourselves. They were followed by his 'Zeroth Law', which updated and replaced the others: A robot may not harm humanity, or, by inaction, allow humanity to come to harm. It's a nice thought, but I am not sure we know how to build that into the great robot revolution. And, even if we did, it is probably too late. DM (For an in-depth but concise look at the robotics industry, check out this article.) Steven Boykey Sidley is a professor of practice at JBS, University of Johannesburg, a partner at Bridge Capital and a columnist-at-large at Daily Maverick. His new book, 'It's Mine: How the Crypto Industry is Redefining Ownership', is published by Maverick451 in SA and Legend Times Group in the UK/EU, available now.


eNCA
21 hours ago
- eNCA
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The South African
3 days ago
- The South African
Orlando Pirates news: Commercial win and transfer setback
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