Abstract: Differentiable simulation has become a powerful tool for system identification. While prior work has focused on identifying robot properties using robot-specific data or object properties ...

Abstract: This article is dedicated to solving the obstacle avoidance problem of multi-robots for two-wheel differential robots. The Kinematics constraints of the two-wheeled robot are introduced ...

Robot vacuums have steadily improved their cleaning performance and object avoidance over the years, but during our testing at CNET Labs, we discovered an odd trade-off. Ajay has worked in tech ...

Hello everyone, thanks for your patience. HOSIG has now been accepted by AAAI 2026. Related code and data will be released gradually over the next three months ...

Meet the robotic dog with a memory like an elephant and the instincts of a seasoned first responder. Developed by Texas A&M University engineering students, this AI-powered robotic dog doesn’t just ...

Object avoidance is a tough nut to crack on robot vacuums, but Narwal's new Flow 2 promises it has the best yet with a mix of on-board processing and AI cloud computing. Ajay has worked in tech ...

Google DeepMind is teaming up with Boston Dynamics to give its humanoid robots the intelligence required to navigate unfamiliar environments and identify and manipulate objects—precisely the kinds of ...

MOCHA recipe. (1) Pretraining student model. (2) Knowledge distillation on rich joint visual and textual features from a frozen teacher. (3) Few-shot personalization with frozen student and ...