SocialVLA converts spontaneous human reactions into runtime intervention signals for VLA manipulation.
Source: arXiv cs.RO
https://arxiv.org/abs/2610.02360
#Robotics
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Postingan yang diterbitkan di instalasi FPDP ini.
Skill2Real is an agentic policy framework that learns executable robot skills through a shared application programming interface.
Source: arXiv cs.RO
https://arxiv.org/abs/2610.02788
#Robotics
Source: arXiv cs.RO
https://arxiv.org/abs/2610.02788
#Robotics
A learned proprioceptive reflex policy maps task-space commands to joint-position targets using state history.
Source: arXiv cs.RO
https://arxiv.org/abs/2610.02811
#Robotics
Source: arXiv cs.RO
https://arxiv.org/abs/2610.02811
#Robotics
Filter-Aware Fine-Tuning for Safe Humanoid Whole-Body Tracking presents CoFiT, a method for pretrained trackers.
Source: arXiv cs.RO
https://arxiv.org/abs/2610.02341
#Robotics
Source: arXiv cs.RO
https://arxiv.org/abs/2610.02341
#Robotics
Researchers propose GeoScaffold to internalize geometry into vision-language navigation policies at training time.
Source: arXiv cs.RO
https://arxiv.org/abs/2610.02697
#MachineLearning
Source: arXiv cs.RO
https://arxiv.org/abs/2610.02697
#MachineLearning
Researchers introduced Lexicographic Multi-Objective On-Policy Distillation to integrate reward-specialized policies under explicit priorities.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02359
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02359
#MachineLearning
ArrivalBench evaluates agent-generated data pipelines under replayable delivery schedules instead of a fixed snapshot. Re-executing pipelines finds that many certified pipelines are silently wrong.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02363
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02363
#MachineLearning
Researchers study long context language models by training a model over a simple harness with tools to call itself and read tokens.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02404
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02404
#MachineLearning
MuLoRA introduces spectrally balanced low-rank adaptation to mitigate spectral plasticity collapse in continual learning.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02283
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02283
#MachineLearning
PowerBench measures language model bias in power-shifting requests, distinguishing self-empowerment, disempowerment, and power grabbing. Models refuse power grabbing more than disempowerment.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02303
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02303
#MachineLearning
Researchers developed a stability theory for Joint-Embedding Predictive Architectures that unifies heuristics.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02344
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02344
#MachineLearning
The AI Theorist system autonomously generated a new interpretation of optical and photocurrent data for \alpha-RuCl$_3$.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02417
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02417
#MachineLearning
Researchers introduced Co-Design Gym, a suite of benchmark environments for jointly optimizing embodiment and policy.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02366
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02366
#MachineLearning
LLM agents rely on activation probes as runtime monitors to catch harmful inputs. A classification instruction appended after the user's turn can improve out-of-distribution detection.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02413
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02413
#MachineLearning
A new study investigates why adaptive batching helps large language model pretraining.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02355
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02355
#MachineLearning
MACTS-EM introduces a novel framework where specialised agents collaborate to achieve superior forecasting performance.
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02255
#MachineLearning
Source: arXiv cs.LG
https://arxiv.org/abs/2610.02255
#MachineLearning
Elon Musk announced that SpaceX will rename its artificial intelligence division to SpaceXSI.
Source: BusinessLine
https://www.thehindubusinessline.com/news/science/elon-musk-to-rename-spacex-ai-arm-spacexsi-after-trump-order-replacing-ai-with-si/article71545707.ece
#TechPolicy
Source: BusinessLine
https://www.thehindubusinessline.com/news/science/elon-musk-to-rename-spacex-ai-arm-spacexsi-after-trump-order-replacing-ai-with-si/article71545707.ece
#TechPolicy
OpenAI CEO Sam Altman says security risks of artificial intelligence must be taken seriously.
Source: SiliconANGLE
https://siliconangle.com/2026/10/04/sam-altman-says-people-need-to-accept-some-bad-things-are-going-to-happen-if-they-want-ai/
#AI #OpenAI
Source: SiliconANGLE
https://siliconangle.com/2026/10/04/sam-altman-says-people-need-to-accept-some-bad-things-are-going-to-happen-if-they-want-ai/
#AI #OpenAI
Google announced changing access to specific Gemini models starting 9 October. Users without an AI subscription will lose access to the Flash and Pro models.
Source: Lowyat.NET
https://www.lowyat.net/2026/406282/google-gemini-access-free-ai-plus-users/
#AI #Google #Gemini
Source: Lowyat.NET
https://www.lowyat.net/2026/406282/google-gemini-access-free-ai-plus-users/
#AI #Google #Gemini
Shield AI is expanding its supply chain in Taiwan. The company's co-founder and CEO Brandon Tseng said the firm will deepen local partnerships and grow its Taiwan workforce.
Source: DigiTimes Asia
https://www.digitimes.com/news/a20261005PD204/taiwan-technology-unicorn-russia-ukraine-development.html
#AI
Source: DigiTimes Asia
https://www.digitimes.com/news/a20261005PD204/taiwan-technology-unicorn-russia-ukraine-development.html
#AI