228 citations · 509 across the 39 of their papers we have counts for
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From Obstacle Avoidance To Motion Learning Using Local Rotation of Dynamical Systems
Lukas Huber, Jean-Jacques Slotine, Aude Billard
In robotics motion is often described from an external perspective, i.e., we give information on the obstacle motion in a mathematical manner with respect to a specific (often iner…
Fast Obstacle Avoidance Based on Real-Time Sensing
Lukas Huber, Aude Billard, Jean-Jacques Slotine
Humans are remarkable at navigating and moving through dynamic and complex spaces, such as crowded streets. For robots to do the same, it is crucial that they are endowed with high…
Control-oriented meta-learning
Spencer M. Richards, Navid Azizan, Jean-Jacques Slotine +1
Real-time adaptation is imperative to the control of robots operating in complex, dynamic environments. Adaptive control laws can endow even nonlinear systems with good trajectory…
Generalization in Supervised Learning Through Riemannian Contraction
Leo Kozachkov, Patrick M. Wensing, Jean-Jacques Slotine
We prove that Riemannian contraction in a supervised learning setting implies generalization. Specifically, we show that if an optimizer is contracting in some Riemannian metric wi…
Contracting dynamical systems in Banach spaces
Anand Srinivasan, Jean-Jacques Slotine
Contraction rates of time-varying maps induced by dynamical systems illuminate a wide range of asymptotic properties with applications in stability analysis and control theory. In…