Tootfinder

🇺🇦 #NowPlaying on #BBC6Music's #6MusicsJukebox
Planningtorock:
🎵 Living It Out
#Planningtorock
https://planningtorock.bandcamp.com/album/living-it-out-remixes
https://open.spotify.com/track/681YTJ89d92y7DTje1FdjP

Self-Supervised Sparse Sensor Fusion for Long Range Perception
Edoardo Palladin, Samuel Brucker, Filippo Ghilotti, Praveen Narayanan, Mario Bijelic, Felix Heide
https://arxiv.org/abs/2508.13995

Self-Supervised Sparse Sensor Fusion for Long Range Perception
Outside of urban hubs, autonomous cars and trucks have to master driving on intercity highways. Safe, long-distance highway travel at speeds exceeding 100 km/h demands perception distances of at least 250 m, which is about five times the 50-100m typically addressed in city driving, to allow sufficient planning and braking margins. Increasing the perception ranges also allows to extend autonomy from light two-ton passenger vehicles to large-scale forty-ton trucks, which need a longer planning ho…

Shell-Type Soft Jig for Holding Objects during Disassembly
Takuya Kiyokawa, Ryunosuke Takebayashi, Kensuke Harada
https://arxiv.org/abs/2509.13802 https://…

Shell-Type Soft Jig for Holding Objects during Disassembly
This study addresses a flexible holding tool for robotic disassembly. We propose a shell-type soft jig that securely and universally holds objects, mitigating the risk of component damage and adapting to diverse shapes while enabling soft fixation that is robust to recognition, planning, and control errors. The balloon-based holding mechanism ensures proper alignment and stable holding performance, thereby reducing the need for dedicated jig design, highly accurate perception, precise grasping,…

🇺🇦 #NowPlaying on #BBC6Music's #NickGrimshaw
Planningtorock:
🎵 Living It Out
#Planningtorock
https://planningtorock.bandcamp.com/album/living-it-out-remixes
https://open.spotify.com/track/681YTJ89d92y7DTje1FdjP

Hardness of recognizing phases of matter
Thomas Schuster, Dominik Kufel, Norman Y. Yao, Hsin-Yuan Huang
https://arxiv.org/abs/2510.08503 https://arxiv.org/…

Hardness of recognizing phases of matter
We prove that recognizing the phase of matter of an unknown quantum state is quantum computationally hard. More specifically, we show that the quantum computational time of any phase recognition algorithm must grow exponentially in the range of correlations $ξ$ of the unknown state. This exponential growth renders the problem practically infeasible for even moderate correlation ranges, and leads to super-polynomial quantum computational time in the system size $n$ whenever $ξ= ω(\log n)$. Ou…

🇺🇦 #NowPlaying on #BBC6Music's #LaurenLaverne
Planningtorock:
🎵 Living It Out
#Planningtorock
https://planningtorock.bandcamp.com/album/living-it-out-remixes
https://open.spotify.com/track/681YTJ89d92y7DTje1FdjP

ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks
Kaijun Wang, Liqin Lu, Mingyu Liu, Jianuo Jiang, Zeju Li, Bolin Zhang, Wancai Zheng, Xinyi Yu, Hao Chen, Chunhua Shen
https://arxiv.org/abs/2508.08240

ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks
Language-guided long-horizon mobile manipulation has long been a grand challenge in embodied semantic reasoning, generalizable manipulation, and adaptive locomotion. Three fundamental limitations hinder progress: First, although large language models have improved spatial reasoning and task planning through semantic priors, existing implementations remain confined to tabletop scenarios, failing to address the constrained perception and limited actuation ranges of mobile platforms. Second, curre…