Tootfinder

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Neil Young:
🎵 Computer Age
#NeilYoung
https://channelsurfingenviron.bandcamp.com/track/computer-age-5-25-neil-young-trans-rock-0-we-r-in-control
https://open.spotify.com/track/60sFWx5iElbfma36qpQdBl

NaviGait: Navigating Dynamically Feasible Gait Libraries using Deep Reinforcement Learning
Neil C. Janwani, Varun Madabushi, Maegan Tucker
https://arxiv.org/abs/2510.11542 https…

NaviGait: Navigating Dynamically Feasible Gait Libraries using Deep Reinforcement Learning
Reinforcement learning (RL) has emerged as a powerful method to learn robust control policies for bipedal locomotion. Yet, it can be difficult to tune desired robot behaviors due to unintuitive and complex reward design. In comparison, offline trajectory optimization methods, like Hybrid Zero Dynamics, offer more tuneable, interpretable, and mathematically grounded motion plans for high-dimensional legged systems. However, these methods often remain brittle to real-world disturbances like exter…

Spectral-temporal processing using integrated recursive electro-optic circuit
Xudong Li, Yaowen Hu, Tong Ge, Andrea Cordaro, Yunxiang Song, Xinrui Zhu, Shengyuan Lu, Keith Powell, Let\'icia Magalh\~aes, Urban Senica, Neil Sinclair, Marko Lon\v{c}ar
https://arxiv.org/abs/2509.25102

Spectral-temporal processing using integrated recursive electro-optic circuit
Advances in integrated photonics have enabled unprecedented level of control of light, powering a wide range of photonic technologies from communications and computing to precision metrology and quantum information. However, the conventional on-chip optical signal processing approaches based on optical waveguides and cavities suffer from their large physical footprint and narrow operating bandwidth, respectively. To address this, we propose and experimentally demonstrate, using the thin film li…