Robotics deep dive: WHY JAPAN LOST THE HUMANOID LEAD Honda began humanoid research in 1986. P2 walked unaided in December 1996, the first bipedal robot to do it without a tether. ASIMO arrived in November 2000, 120cm and 43kg, down from P3's 160cm and 130kg. Nobody could ever buy one. That is the pattern, and it repeats across all three programmes. Sony's QRIO was developed, marketed and never sold. On 26 January 2006, inside Howard Stringer's restructuring, Sony ended AIBO and stopped QRIO in the same announcement. Toyota's first humanoid, unveiled in 2004, played the trumpet; it performed at the 2005 Aichi Expo. ASIMO's seventh and last generation shipped in 2011. Development stopped in 2018, reported by Nikkei, NHK and Kyodo rather than announced as a product decision. Then March 2011, iRobot announced on the 18th that it was sending PackBots and Warriors to Fukushima Daiichi. American PackBots went into the reactor buildings in April. Quince, built by Chiba Institute of Technology, Tohoku University and the International Rescue System Institute, got inside in June, two months later. The version that circulates is that Japan had no robots. That part is wrong: JAERI had built a radiation-hardened machine after the 1999 Tokai criticality accident and it was on site. Japan's machines had never been proven in the field, because Japanese makers are barred from exporting military robots, while PackBot and Talon had spent a decade in Iraq and Afghanistan. Japan's transmit-power limits did not lift for the emergency either. Procurement, export control and radio spectrum. None of that is an engineering failure. SCHAFT, a University of Tokyo spinout, won the DARPA Trials in December 2013 with 27 points, three weeks after Google bought it for a reported $20M. It did not compete in the June 2015 finals, won by Korea's Team KAIST. Alphabet closed SCHAFT in November 2018 after failing to find a buyer. Honda's Takahide Yoshiike wrote the epitaph himself: "instead of getting hung up on developing ASIMO as a perfect package of all functions, we would like to provide value to society as soon as possible by focusing first on individual functions." Japan kept the part that had customers. Nabtesco puts its own share of the precision reduction gears inside medium and large robot joints at about 60%. The demonstrations left, the gearboxes stayed.

Two red roses. Tied together. Laid at the USS Arizona Memorial, once a month. One for the Americans who died at Pearl Harbor. One for the Japanese. For twelve years, the same man laid them. Then he played taps on his bugle. His name was Richard Fiske. On December 7, 1941, he was a 19-year-old Marine bugler on the USS West Virginia. He watched his ship get torn apart. He carried that morning with him for decades. The roses were paid for by Zenji Abe. A Japanese dive-bomber pilot. He flew in the attack that morning. One of his bombs hit Fiske's ship. They met at Pearl Harbor fifty years later. Abe had come to apologize. Fiske could have walked away. Nobody on earth would have blamed him. He gave him a bear hug. Abe asked for one favor. He would send money every year. Would Fiske buy two roses each month and lay them at the memorial? One for each side. Fiske said yes. He kept his word every month until he was too sick to stand. The last time was December 7, 2003. He died the next spring. When he gave tours, he would pull out a photo of Abe and show it to visitors. This is the man who bombed Pearl Harbor, he would tell them. And he is my friend. That December, Abe came to Honolulu one last time. He was 88 and fighting cancer. He stood at the place where his friend rests, pressed his hands together around his prayer beads, and bowed for a long time. That same month, a seven-year-old girl stood at the memorial and played taps on her violin. For both of them.

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Robotics deep dive: THREE FINGERS OR FIVE The robot-hand world is arguing about finger count, and a startup went and checked the data. Tacta @TactaSystems put tactile gloves on expert factory workers in Japan, China, Vietnam, Mexico and Taiwan, and watched what the best hands actually do. The finding: high-value precision work comes down to three fingers. A thumb, an index and a middle finger do the picking, placing, inserting and threading. The ring and the little finger mostly go along for the ride. Look at your own hand holding a pen or a small part: two of your fingers are just there for support. The robot even improves on the human here. A robot finger does not tire and does not overheat, so it can hold a 2 kg part for days without a break. So why does almost everyone still build five? The honest answer is the training data, not the task. Five fingers match the human hand you are learning from, which closes the embodiment gap between the demonstration and the robot. That congruency is why the five-finger camp is prominent. Tacta's answer is to not be dogmatic about it. Three fingers for the job, because it is simpler, cheaper and more robust. Five if a customer wants the human match. The design is modular, so you can even add a sixth. The lesson here: let the data pick the finger count.

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🇯🇵🇨🇳China is closely monitoring the development of Japan’s ASEV BMD Cruiser. Years ago, we have already developed a weapon just for the ASEV — YJ-21. 1. Depressed Ballistic Trajectory — Leaves SM-3 Useless. 2. MACH 10 Terminal Dive — Even 4 SM-6s aren’t enough to deal with it.

Robotics deep dive: HUMANOID CHOKEPOINTS Almost every supply-chain post about humanoids has one country in it. Trace five critical inputs one at a time and they land in four different places. Magnets first, because that is where the argument usually stops. Every high-torque joint runs on sintered NdFeB, and on the IEA's 2024 figures China holds 91% of refined output and 94% of sintered permanent magnets, against 60% of the mining. Mining is the distributed part, and the chokepoint is the chemistry. The precision reducer is the node almost nobody names. Nabtesco states on its own site that it holds approximately 60% of the global market for the precision reduction gears in industrial robot joints. Harmonic Drive Systems is the incumbent on the strain-wave side. Both Japanese, both sitting on decades of gear grinding, heat treatment and yield that nobody has replicated at price. There is no mine to open here. Optimus runs 14 linear actuators; per-robot screw counts get estimated anywhere from 14 to more than 40, at $1,350 to $2,700 each. A planetary roller screw is a micron-tolerance ground part, and only a handful of firms anywhere make them to that standard: Japanese, German, Swiss, with Chinese entrants scaling into it now. The constraint is grinding capacity and the people who can run it. Compute inverts the picture. Nvidia designs Jetson Thor in California and cannot manufacture it. Roughly 92% of the world's sub-10nm logic capacity sits on one island. Battery cells go back to China: over 80% of global cell capacity, about 99% of LFP. A McKinsey component map, reported by Forbes in June, puts it the same way: China is overwhelmingly dominant in exactly one category, magnets for motors, while bearings, driver boards and sensors have suppliers in several countries. So it is four dependencies, held by parties with different export regimes, different politics and no shared interest in coordinating. A supply chain with one chokepoint is one negotiation. Reshoring the magnets still leaves you asking Japan for the gearboxes and Taiwan for the brain.

Robotics deep dive: THE LABOUR SHORTAGE, CHECKED Apptronik's homepage says Apollo helps "address critical labor shortages in industries requiring manual, physical labor." Some version of that sentence opens nearly every humanoid pitch. It is a checkable claim. A shortage of workers leaves a signature: employers competing for scarce labour bid the price up, so real wages rise in the affected occupations, openings stay high, and quits stay high because workers with options keep leaving for better ones. US warehousing and storage, production and non-supervisory workers, in constant dollars: $23.14 an hour in 2017, $26.06 in 2026. Up 12.6% against 8.2% for the private sector as a whole. That is a real relative gain and the vendors are entitled to it. Through 2021 and 2022, the tightest labour market in fifty years, warehouse pay rose 9.1% in nominal terms and 1.1% after inflation. And the sector went from 1.23 million workers in 2019 to 1.85 million now, adding 620,000 people while describing itself as unable to find them. Manufacturing runs the other way. Real production pay was $28.45 in 2017 and $28.88 in 2023: 1.5% over six years, spent entirely inside the loudest years of the shortage story. Against the average private-sector production worker, manufacturing paid 95 cents on the dollar in 2017 and 91 cents in 2022. The second half of the signature agrees. Manufacturing job openings are running at 3.70% in 2026, against 6.22% in 2021 and 3.54% in 2018. Quits are at 1.32%, the lowest in the decade I pulled. Workers have stopped leaving, which is what a labour market looks like when nobody is bidding. The 2.1 million figure everyone quotes comes from the 2021 Deloitte and Manufacturing Institute talent study. Its actual sentence: without changes to the skills composition of the workforce, manufacturers "could leave up to 2.1 million jobs unfilled between 2020 and 2030." The Manufacturing Institute is the workforce arm of the National Association of Manufacturers, and one co-author is NAM's chief economist. A conditional upper bound about training, quoted as a vacancy count. The demographic case is the strong version and it is true. Japan's working-age population peaked in 1995 at 87.5 million and is 72.9 million today, down 16.7%. Germany's peaked in 1997 and is down 6.2%. South Korea's peaked in 2018 and has fallen 3.4% in six years. The US working-age population has never been larger: 220 million, an all-time high in 2024. The demographic argument is correct, and it is an argument about Japan, Korea and Germany on a twenty-year clock. The purchase orders it is being used to justify are being signed in the US this year, in occupations where the wage data says nobody is bidding.