2 citations · 2 across the 2 of their papers we have counts for
3 papers
Quasistatic contact-rich manipulation via linear complementarity quadratic programming
Sotaro Katayama, Tatsunori Taniai, Kazutoshi Tanaka
Contact-rich manipulation is challenging due to dynamically-changing physical constraints by the contact mode changes undergone during manipulation. This paper proposes a versatile…
An analytical diabolo model for robotic learning and control
Felix von Drigalski, Devwrat Joshi, Takayuki Murooka +3
In this paper, we present a diabolo model that can be used for training agents in simulation to play diabolo, as well as running it on a real dual robot arm system. We first derive…
Switching Isotropic and Directional Exploration with Parameter Space Noise in Deep Reinforcement Learning
Izumi Karino, Kazutoshi Tanaka, Ryuma Niiyama +1
This paper proposes an exploration method for deep reinforcement learning based on parameter space noise. Recent studies have experimentally shown that parameter space noise result…