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๐ฉ๐ช Berlin ยท ๐ค Robotics
Autonomous systems, control, perception. 10 upcoming in Berlin โ next in November 2026.
Auf dem Gebiet der humanoiden Robotik steht die Berliner Hochschule fรผr Technik (BHT) fรผr weit mehr als nur Lehre und Forschung. Sie ist direkter Ansprechpartner und Problemlรถser fรผr Ihre Herausforderungen. Im โHaus der Robotikโ der BHT bรผndeln Robotik-Ingenieure exzellente Forschung mit praxisnaher Expertise und entwickeln intelligente Roboter-Systeme, die sich nicht nur bewegen, greifen und lauf
Small models are moving from demos into production. Teams post-train them to replace the frontier-model calls their agents make thousands of times a day, and ship them on-device for privacy, offline use and cost. The hard parts rarely make it into talks: when it's worth it, which data and evals you can trust, what breaks after launch, and how runtimes and hardware behave on real devices. Berlin Bu
This week we look at Long-WAM: Scaling the Context of World-Action Models (Huang et al., 2026) from NVIDIA, MIT, HKU and UCSD, with code and model checkpoints released openly. A robot that only sees the current frame canโt tell whether the cup in front of it is moving, or how far along the task it already is. More visual history sounds like the obvious fix, but history costs time and a robot that
Impulsabend: Robotik & Kรผnstliche Intelligenz โ Von Killerroboter bis Pflege-Bot
Am Abend des 19. November heiรt es bei unserem Science Slam wieder: Bรผhne frei fรผr kluge Kรถpfe, starke Ideen und jede Menge Begeisterung
Today, we have a special one: Denis Shcherba presents his own paper, Estimate, Donโt Imitate: Reusing Differentiable State-Based Policies for Visuomotor Control (Shcherba et al., 2026), written right here in Berlin with Marc Toussaint (TU Berlin) and Wojciech Samek (Fraunhofer HHI). A rare chance to ask the author directly why things were done the way they were. In simulation a robot can cheat: it
This Monday we are looking at VLAW: Iterative Co-Improvement of Vision-Language-Action Policy and World Model (Guo, Lee, Shi, Chen, Liang & Finn, 2026) from Stanford and Tsinghua, presented at ICML 2026. Two weeks ago, Long-WAM built prediction into the policy itself. VLAW keeps policy and world model separate and asks whether each can make the other better. Improving a robot policy through practi
To close November we look at RoboStriker: Hierarchical Decision-Making for Autonomous Humanoid Boxing (Yin et al., 2026) from Shanghai Jiao Tong University. Most humanoid research is about the robot and the world: walking, balancing, picking things up. Boxing adds an opponent who is actively trying to knock you over. Multi-agent RL is the textbook framework for this kind of strategic interaction.
Most founders think about the exit only when an offer arrives or a sale process is already underway. By then, many of the factors that drive valuation, deal certainty and timing are already fixed. The numbers are what they are, the cap table is what it is, and the story buyers hear has already been written, often without you shaping it. Exit readiness means preparing your company, your numbers and
Generative AI is becoming the defining technology of the 21st century. From frontier foundation models and autonomous agents to enterprise transformation and creative disruption, GenAI Berlin brings together the people, companies and ideas shaping Europe's AI future โ at a pivotal moment for the continent's tech ecosystem. On 17 September 2027, GenAI Berlin returns for its next edition. Gathering
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