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Daniel Klaperski has 1 upcoming tech event on hackevents in Berlin. Topics: Robotics.
Auf dem Gebiet der humanoiden Robotik steht die Berliner Hochschule für Technik (BHT) für weit mehr als nur Lehre und Forschung. Sie ist direkter Ansprechpartner und Problemlöser für Ihre Herausforderungen. Im „Haus der Robotik“ der BHT bündeln 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 can’t 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 & Künstliche Intelligenz – Von Killerroboter bis Pflege-Bot
Am Abend des 19. November heißt es bei unserem Science Slam wieder: Bühne frei für kluge Köpfe, starke Ideen und jede Menge Begeisterung
Today, we have a special one: Denis Shcherba presents his own paper, Estimate, Don’t 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
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