Sunday, November 1, 2026

Kathphal (Myrica nagi): Retweeting Stanford free robotics - ReπŸ˜… #WUaSEducationalSercicesStores #WUaSrobotics & #WUaSHomeRobotics ... where #WUaScorp is an authorized reseller of #LEGOEducationSPIKEPrime #SPIKEPrime & pot. in the #WUaSstoreWithinAStore model w #WUaSWalmart partnering in 19/200 countries & re #WalmartDroneDelivery & see: ... * * * Best online free course for lego spike prime with scratch ? & "Researchers open autonomous robotics learning to the world" * * * See too: Anca D Dragan - new related research

 

Retweeting Stanford free robotics -  ReπŸ˜… #WUaSEducationalSercicesStores #WUaSrobotics & #WUaSHomeRobotics ... where #WUaScorp is an authorized reseller of #LEGOEducationSPIKEPrime  #SPIKEPrime & pot. in the #WUaSstoreWithinAStore model w #WUaSWalmart




ReπŸ˜… #WUaSEducationalSercicesStores #WUaSrobotics & #WUaSHomeRobotics ... where #WUaScorp is an authorized reseller of #LEGOEducationSPIKEPrime  #SPIKEPrime & pot. in the #WUaSstoreWithinAStore model w #WUaSWalmart partnering in 19/200 countries & re #WalmartDroneDelivery & see:





and

ReπŸ˜… #WUaSEducationalSercicesStores #WUaSrobotics & #WUaSHomeRobotics ... where @WUaSPress is an authorized reseller of #LEGOEducationSPIKEPrime  #SPIKEPrime & pot. in the #WUaSstoreWithinAStore model w #WUaSWalmart partnering in 19/200 countries & re #WalmartDroneDelivery & see:





Both retweeting - 

A free online textbook, video lectures, and hands-on resources are making cutting-edge autonomy knowledge accessible to developers, researchers, and robot enthusiasts everywhere.






* * * 


Best online free course for lego spike prime with scratch ? & "Researchers open autonomous robotics learning to the world"

searched on - 
best online free course for lego spike prime with scratch ?

Found - 

LEGO Education SPIKE Prime
Get up to speed with SPIKE Prime. Prepare for a competition as a team. Quickly find an answer on how to do specific things with SPIKE Prime. Learn and teach at home or at school. 



Best online free course for #SpikePrimeWithScratch?
#LEGOEducationSPIKEPrime
Get up to speed with #SPIKEPrime. Prepare for a competition as a team. Quickly find an answer on how to do specific things with SP. Learn and teach at home or at school.
https://www.fllcasts.com/robots_kits/lego-education-spike-prime &see too:

https://x.com/WorldUnivAndSch/status/2117016205588644210

https://x.com/Q_YogaMacFlower/status/2117016406986465478


Retweeting - 

A free online textbook, video lectures, and hands-on resources are making cutting-edge autonomy knowledge accessible to developers, researchers, and robot enthusiasts everywhere.





AND 

The best free online resources and courses for learning LEGO SPIKE Prime using Scratch-style word block programming include:
1. PrimeLessons
  • Overview: The premier free, community-driven curriculum site specifically designed for LEGO SPIKE Prime and FIRST LEGO League (FLL) teams. [1]
  • What it covers: Step-by-step programming lessons ranging from basic movement, gyro turns, and sensor handling (force, color, distance) to intermediate/advanced topics like line followers and PID control, all using Scratch-based word blocks. [1]
  • Access: Explore the PrimeLessons Programming Lessons website. [1]
2. FLLCasts (Free Learn at Home SPIKE Prime Courses)
  • Overview: A rich library of tutorials, building tips, and free beginner curriculum tracks tailored for educators, students, and rookie robotics teams. [1]
  • What it covers: Introductory software setup, hub navigation, motor controls, and competition-focused Scratch word-block guides. [1]
3. Official LEGO Education SPIKE App & Built-in Tutorials
  • Overview: The official software application comes with integrated, interactive getting-started units right out of the box. [1]
  • What it covers: Guided lessons, building instructions, and progress-based coding modules that move directly from icon blocks to Scratch word blocks. [1]
  • Access: Download the software via the LEGO Education SPIKE App Downloads Page. [1]
4. Creative Hut — Free SPIKE Prime Introduction
  • Overview: A free introductory e-learning course geared toward helping users get comfortable with unboxing, software installation, and first-time coding.
  • What it covers: Hardware overview, software navigation, writing first Scratch blocks, and basic classroom or home tips.
A helpful introductory video covering the LEGO SPIKE Prime hub and Scratch-style word block coding basics:
image.png
The PERFECT Introduction to Spike Prime, for your students
13K views · 2 years ago
YouTube · Robot Man
To help narrow down the best option, tell me:
  • Who is taking the course (a young student, a middle/high schooler, or an adult teacher)?
  • Are you prepping for a FIRST LEGO League (FLL) competition or learning for fun?




AND 

"Researchers open autonomous robotics learning to the world" ... to https://wiki.worlduniversityandschool.org/wiki/Robotics (from https://wiki.worlduniversityandschool.org/wiki/Subjects) How best to develop @WorldUnivAndSch with a #RealisticVirtualEarthForRobotics ? #WUaSrobotics ~


Retweeting - 

A free online textbook, video lectures, and hands-on resources are making cutting-edge autonomy knowledge accessible to developers, researchers, and robot enthusiasts everywhere.



October 22nd, 2026

Science & Engineering
Researchers open autonomous robotics learning to the world
A free online textbook, video lectures, and hands-on resources are making cutting-edge autonomy knowledge accessible to developers, researchers, and robot enthusiasts everywhere.



The Book

Read the full book below, chapter by chapter. A freely available PDF version is also on arXiv. Spotted a mistake? See the errata.






The Book

Read the full book below, chapter by chapter. A freely available PDF version is also on arXiv. Spotted a mistake? See the errata.

Getting Started
Part I · Robot Motion Planning and Control
Part II · Robot Perception
Part III · Robot Localization and Mapping
Part IV · Robot Decision Making
Closing







Society, Information Technology, and the Global University, (forthcoming, Academic Press at World University and School, 2027) 






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See too: 


Anca D Dragan - new related research


[PDF] Embodied Zero-Shot Task Planning via Hardware-Aware LLM-VLM Integration for Grounded Robotic Manipulation

L Tankersley, NA Golilarz, S Korivand - arXiv preprint arXiv:2610.14106, 2026
Large language models can translate natural-language instructions into plausible
manipulation plans, but robotic execution requires physically grounded decisions
that respect robot embodiment, workspace geometry, reachability, collision …


[PDF] Variance-Averse $ n $-Step Offline Reinforcement Learning for Sparse Long-Horizon Environments

G Kang, M Kwon - arXiv preprint arXiv:2610.07899, 2026
Generative actors are transforming offline reinforcement learning (RL) by enabling
expressive policy classes that model complex action distributions. However, this
expressiveness also exposes a key challenge in heterogeneous datasets …


Reinforcement Learning in Action: From Foundations to Frontier AI

U Kamath, V Vajre - 2026
Reinforcement learning (RL) has become the engine behind some of the most
significant advances in modern artificial intelligence, from defeating world champions
in Go to aligning large language models with human preferences. Yet despite its …


[PDF] Vision-Language-Delta-Action: Learning Compact Deltas as Actionable Transition Interfaces for Robotic Manipulation

L Zhang, W Li, J He, H Zhang, K Mo, S Li, Y Wang… - arXiv preprint arXiv …, 2026
Robotic manipulation is not merely observation-to-action generation, but the
realization of task-specified state changes in the physical world. Existing vision-
language-action (VLA) methods directly learn observation-to-action mappings …


[PDF] ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models

C Kim, K Lee, Y Narang, Y Guo - arXiv preprint arXiv:2610.18596, 2026
Reinforcement learning (RL) post-training improves robot foundation models (RFMs)
beyond their demonstrations, but real-world deployment demands more: learning
new tasks efficiently while retaining previously acquired behaviors. Existing continual …


[PDF] Evo-RL: Iterative Robot Reinforcement Learning from Selective Experience

K Ye, Y Jin, Q Luo, H Zhang, J Zhang, S Hu, SY Wu… - arXiv preprint arXiv …, 2026
Existing real-world reinforcement learning methods improve robot policies by
combining human corrections with autonomous rollouts. However, accumulated
experience varies in its value for policy improvement, and even successful …


[PDF] Persistent LLM Orchestration of Heterogeneous Robot Teams via Partial Delegation to Multi-Agent Protocols

MG Mendoza, VM Tuck, Z Ravichandran, S Sastry… - arXiv preprint arXiv …, 2026
Natural language specifications let non-expert users task robot teams, and large
language models (LLMs) have recently proven effective at grounding such semantic
specifications into plans for heterogeneous teams. Existing approaches assume …


Ranked behavior cloning for productivity-driven imitation learning with zone-based safety modulation in human–robot collaborative tasks

PR Nair, AR Chowdhury - Intelligent Service Robotics, 2026
Safety and productivity are two critical aspects of human–robot collaborative (HRC)
environments. This paper proposes ranked behavior cloning (RBC), an imitation
learning framework that enhances conventional behavior cloning by incorporating a …


[PDF] Fast Non-Parametric Heteroscedastic Imitation Learning With Geometric Priors

M MΓΌhlbauer, A Sachtler, M Knauer, C KüçükgenΓ§… - arXiv preprint arXiv …, 2026
When learning probabilistic policies from human demonstrations, data-efficient
learning and fast adaptations to new scenarios are key requirements. One popular
way to achieve intuitive and reliable adaptations is through non-parametric, typically …


[PDF] Towards Human-Centered Safety in Vision-Language-Action Robot Control: A Survey and Outlook

N Chung, T Nguyen, T Hu, Y Xing, P Jiang, TA Vu… - 2026
Abstract As Vision-Language-Action (VLA) models couple perception and language
understanding with physical action in human-shared environments, safety depends
on whether they capture relevant information about people, environments, and social …


 

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10 new citations to articles by Anca D Dragan


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[HTML] BacMap 3.0: a comprehensive knowledgebase of annotated bacterial genomes

R Kruger, M Kyes, E Oler, S Saha, S Han, J Poelzer… - Nucleic Acids Research, 2026
Abstract BacMap 3.0 (https://bacmap. ca) is a comprehensive, freely accessible
resource integrating 23 524 bacterial and archaeal species, 32 866 genomes,> 100
million genes, 1756 primary metabolic pathways, and 45 284 metabolites within one
interactive platform. Despite the extraordinary growth of bacterial and archaeal
genome sequencing, relevant data remain distributed across numerous specialized
databases, impeding comprehensive genome-to-function analysis. While existing …
•Cites: ‪Gemma 4 technical report‬  

[PDF] Machine psychology for language models

T Hagendorff, I Dasgupta, M Binz, S Chan, A Lampinen… - Science Advances, 2026
Large language models (LLMs) show increasingly advanced emergent capabilities
and are being incorporated across various societal domains. Understanding their
behavior and reasoning abilities is therefore important. We argue that a fruitful
direction for research is engaging LLMs in experiments inspired by psychology that
have traditionally been aimed at understanding human cognition and behavior.
Here, we highlight and summarize theoretical perspectives, experimental paradigms …
•Cites: ‪Chain of thought monitorability: A new and fragile opportunity for ai …‬  

[PDF] SAE++: Cascaded Sparse Autoencoders Learn Multi-Level Visual Concepts in Multimodal LLMs

Y Zhao, H Wang, T Ganu, A Nambi, H Wang - arXiv preprint arXiv:2606.16193, 2026
Abstract Multimodal Large Language Models (MLLMs) have demonstrated strong
performance on vision-language tasks, yet their internal visual representations
remain difficult to interpret. Sparse Autoencoders (SAEs) provide a scalable way to
decompose dense model activations into sparse, interpretable features. However,
existing SAE architectures primarily recover flat feature dictionaries and are less
suited for explicit multi-level concept organization. In this paper, we introduce a …
•Cites: ‪Gemini 2.5: Pushing the frontier with advanced reasoning …‬  

Learning Semantic Plasticity Relationship via Hierarchical Correlational Modeling for Robust Head Pose Estimation

T Liu, Q Chen, X Li, H Xia, Z Liu, H Liu, Q Liu, YF Li - IEEE Transactions on Circuits …, 2026
Head pose estimation (HPE) has attracted remarkable attention in the field of human
and robot interaction. However, practical head pose methods are hindered by
challenges, such as occlusion, extreme angle, and complex light. To overcome these
challenges, we propose a novel plasticity relationship learning framework (PlaHPE)
for robust head pose estimation via hierarchical correlational modeling. The
proposed model leverages two important insights: facial features across different …
•Cites: ‪Gemini 1.5: Unlocking multimodal understanding across millions of …‬  

[PDF] Beyond AI Readiness: An Information-Integrity Readiness Framework for Governing Synthetic Media in Somalia

AA Ahmed, AA Mohamed, MK Ali, YH Mohamed… - Frontiers in Artificial …, 2026
Generative AI has dramatically reduced the cost of producing highly convincing text,
images, audio, and video, enabling synthetic content to be created and disseminated
at unprecedented scale and speed (Ferrara, 2026; Waditwar, 2025). Amplified
through algorithmdriven social media platforms, these synthetic artifacts increasingly
shape political discourse, public opinion, and institutional trust by exploiting both
algorithmic systems and human cognitive vulnerabilities (Aditya, 2025; Romanishyn …
•Cites: ‪Managing extreme AI risks amid rapid progress‬  

[PDF] The Vocabulary Is Already Here: Adapting Pretrained Interpretable Features for Generative Recommendation

Z Luo, R Liu, J Yin, H Yan, Z Hu, X Shi, C Li, C Zhang… - arXiv preprint arXiv …, 2026
Generative recommendation (GR) predicts the next item through its semantic ID
(SID). Existing methods commonly fit SID vocabularies to pretrained language model
(PLM) representations of item descriptions, incurring additional training costs and
making vocabulary coverage dependent on the fitting domains. We observe that
pretrained sparse autoencoders expose PLM features with human-interpretable
semantic annotations, allowing feature indices to serve as a reusable SID …
•Cites: ‪Gemma scope: Open sparse autoencoders everywhere all at once …‬  

[PDF] Cyber Social Threats to Federal Research Communication: Moral Framing in LLM-Generated Persuasion Attacks

HT Kao, A Panasyuk, P Bautista, W Dupree, G Ganberg… - Proceedings of the ICWSM …, 2026
Online information spaces are where people encounter and judge institutional
communication, making federal research agency press releases attractive targets for
large-scale persuasive interference. We study this cyber social threat by generating
134,136 LLM-based persuasion attacks against 972 press releases from ten
agencies using GPT-4, Gemma 2, and Llama 3.1 across 23 SemEval 2023 Task 3
techniques. We then characterize the moral framing of these attacks. Across models …
•Cites: ‪Gemma 2: Improving open language models at a practical size‬  

[PDF] Augmenting robotic manipulation through natural language

A Yu - 2026
Despite rapid advances in language and vision models, current robots still lag far
behind human physical capabilities due to the relative scarcity of real-world data
compared to online text and images. How can we leverage abundant language data
to advance robotic capabilities? Language provides semantic structure that facilitates
the understanding of diverse data, improving sample efficiency in scarce data
regimes. It also provides a natural communicative medium when interacting with and …
•Cites: ‪Learning temporal distances: Contrastive successor features can …‬  

[HTML] Context, user, and truth: evaluating LLM response quality as a human–model system property

M Kania, R Klempous, A BΔ…k, Z Chaczko, J Segen… - International Journal of …, 2026
Large language models (LLMs) are evaluated as if quality were a property of the
model. We show that it is a property of the human–model system. In a benchmark of
ten LLMs across 12 tasks with controlled prompt variation and a user study (n= 80),
we find that query context and user expertise jointly modulate response quality.
Specifically, context enrichment improves BERTScore F1 by 0.07 for novice users but
only 0.02 for experts, and model rankings shift by up to five positions across user …
•Cites: ‪Context steering: Controllable personalization at inference time‬  

[PDF] SafeAIShouldBeBounded and Multi-Agent

D Hyland, DJ Ornia, N Bishop, J Dyer…
Major developments in frontier AI systems over the last decade have been driven by
the scaling paradigm, which treats resource constraints as key obstacles to be
overcome in the pursuit of more capable systems. Here, we argue for a
complementary paradigm that embraces these constraints—together with the multi-
agent, distributed nature of real-world deployments—as a route towards safe and
scalable AI. Rather than scaling individual agents alone, we posit that legibly …
•Cites: ‪Adversaries can misuse combinations of safe models‬  

 

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