Jumper, the open-source crab robot : In Search of Sun [V2]
Jumper likes to see things from different angles. As a result, he sometimes finds himself in rather tricky situations. But every problem is an opportunity to learn - for him, and for us!
Why this [V2]? Because some transitions could have been smoother, some scenes still needed a bit of fine-tuning in terms of timing, and a few details deserved to be more visible.
And also because my son and I - being a little sadistic - hadn't yet found the time to try something on Jumper that had been on our minds for quite a while.
Well, now we have!
We have to admit, Jumper is an awfully good sport. 🦀✨
Did you spot all the details on Jumper's displays? Let us know in the comments!
Many thanks to @KingKongRobotics and Jumper’s creators for their brilliant robot and the resources they have shared. We hope you enjoy watching it as much as we enjoyed making it!
----
🛠️ What we added to the original model, or tested (based on our initial observations of its specs):
• Solar panels,
• Sunny spot detector (technical term: "prime nap zones"),
• LED strips and their animations,
• Back-walking (just in case),
• First-person view and front display repurposing,
• Unprecedented yet essential robotic features, with console status logs: purring, snoring, stretching, and paw-count checks,
• AI features designed for Jumper: object detection powered by YOLO and a budget-conscious reasoning mode.
When we first heard about the Jumper Crab Challenge, my son and I just looked at each other: "We're doing this!"
This is my first attempt at creating a 3D animated short film, based on a story created with my son. From the storyboard, sets and Jumper’s appearance to animation, editing and sound - including the little details scattered throughout the scene and across the screens - the project was a process of learning, experimentation and refinement.
Codex assisted with programming and automation, while I guided the choices that shaped the film. Optimizing hardware resources, developing ideas, giving detailed instructions, reviewing results, troubleshooting issues, and deciding what to keep or change required substantial human work and many iterations. Bringing the story to life meant paying close attention to expression, continuity, pacing, and the smallest details.
All robot simulations, 3D scene creation, rendering, video editing and sound processing were carried out locally. The workflow used Python scripts developed with Codex assistance, MuJoCo for robot simulation, Blender for 3D scenes and rendering, and FFmpeg for assembly and encoding.
We started with the official Jumper model and existing locomotion and posture tools. Walking and expressive gestures were simulated in MuJoCo, checking joint limits and ground contacts before transferring the resulting movements to Blender.
Some imagined features and technical additions reflect what seemed technically plausible to me, rather than confirmed capabilities. The screens were also used creatively, without knowing their actual technical specifications.
Initially, only the NVIDIA GPU rendered the 3D images. We brought the integrated AMD GPU into use, improved CPU task allocation, and optimized concurrent rendering on NVIDIA. We estimate an overall rendering throughput increase of approximately 39%, with unchanged quality settings. These experiments highlighted the importance of balancing the workload across available resources.
----
CREDITS
Concept, story, Art direction: TonioBriss
AI-assisted production with OpenAI Codex, under human direction and review.
Tools:
Blender/Cycles, MuJoCo, Python, FFmpeg, NumPy, SciPy, Pillow, Audaspace.
Jumper:
Copyright 2026 KingKong Robotics.
Official robot geometry and display expressions adapted under the Apache License 2.0. Changes include black-and-purple styling, solar-panel and LED treatments, screen graphics and story-specific animation.
• KingKongRobotics/jumper
• apache.org
Visual resources:
• “Velour Velvet”: colormass & Rico Cilliers / Poly Haven (CC0)
polyhaven.com
• Countryside photograph: Gary Houston / Wikimedia Commons (CC0)
commons.wikimedia.org
• Fonts: DejaVu Sans & DejaVu Sans Mono
• Object-detection graphics inspired by YOLO (You Only Look Once).
Sound and ambience:
• CC0 recordings: Joseph SARDIN / LaSonotheque, Kenney, Glitchedtones, Flem0527, deleted_user_2906614, mista bojjob, fvcalderan, odilonmarcenaro, kyles, ngruber, Burningmonkey, Joao_Janz, KoimeMatsuchiya, mickdow, and Saaabaaato.
• Public domain recordings: Oona Räisänen (Mysid) – blackbird song; Adam Cuerden – purring.
• Sources: LaSonotheque, Kenney, Freesound, OpenGameArt, Wikimedia Commons.
Additional scenery, graphics and sounds created for this film. No music.
Thank you to Jumper’s creators and the contributors behind these tools and resources!
#Jumper #CrabRobot #OpenSourceRobot #Blender3D #robotics #mujoco #Linux
13 likes · 1 comment · 243 views
Mais 15 projetos open source do GitHub que valem o seu tempo | Vol. 12
Mais 15 projetos open source do GitHub que valem o seu tempo, em contagem regressiva e com 10 segundos para cada um: de um robô caranguejo a uma fábrica de software com agentes, passando pelo runtime da NVIDIA para isolar agentes de IA e um escritório em pixel art feito no Brasil.
📺 Décimo segundo volume da série Open source do GitHub. Escolhidos pela análise da lista inteira (estrelas, frequência de commits, último commit, README, documentação, capturas e site), conferida em 22/10/2026.
Qual desses você vai testar primeiro? Conta nos comentários!
⏱️ CAPÍTULOS E LINKS
0:00 Abertura
0:10 #15 wanderer: catálogo self-hosted das suas trilhas de GPS, com mapas, planejamento de rotas e compartilhamento (4 mil estrelas)
open-wanderer/wanderer
0:20 #14 mStream: servidor de música self-hosted com apps no celular, capas automáticas e acesso fora de casa (2,4 mil estrelas)
IrosTheBeggar/mStream
0:30 #13 Jumper: robô caranguejo de 22 articulações e o kit de IA para criar aparência, movimentos e cenas (2,8 mil estrelas)
KingKongRobotics/jumper
0:40 #12 withoutBG: remove o fundo de imagens em Python, localmente com pesos abertos ou pela API na nuvem (1,3 mil estrelas)
withoutbg/withoutbg-python
0:50 #11 Helical Insight: plataforma de BI open source com dashboards, relatórios e chat analítico com IA (1,1 mil estrelas)
helicalinsight/helicalinsight
1:00 #10 json-render: framework de UI generativa: a IA monta a interface só com os componentes do seu catálogo (18,8 mil estrelas)
vercel-labs/json-render
1:10 #9 OpenShell: runtime da NVIDIA que isola agentes de IA e aplica regras do que cada um pode acessar (17,8 mil estrelas)
NVIDIA/OpenShell
1:20 #8 inlark: cliente de e-mail desktop para Linux, Windows e Mac, sem assinatura e sem telemetria
inlark/inlark
1:30 #7 morphicons: transforma qualquer ícone SVG em outro com animação de mola, sem dependências (2,9 mil estrelas)
guillermolg00/morphicons
1:40 #6 OpenOats: transcreve reuniões localmente no Mac e sugere falas a partir das suas notas (2,6 mil estrelas)
yazinsai/OpenOats
1:50 #5 impeccable: skill com 24 comandos e regras que tiram a cara de IA do design de frontend (85 mil estrelas)
pbakaus/impeccable
2:00 #4 Habblaud: escritório virtual em pixel art para os agentes do Claude Code e do Codex (projeto brasileiro)
marmottajr/habblaud
2:10 #3 explainroo: vídeos explicativos com narração feitos pelo seu agente de IA, renderizados no seu computador
vincentsch/explainroo
2:20 #2 ClawRouter: roteador que escolhe o modelo de IA mais barato capaz de cada tarefa (6,6 mil estrelas)
BlockRunAI/ClawRouter
2:30 Oferecimento Hallen Tech
2:44 #1 Fabro: fábrica de software open source: o processo vira um grafo, os agentes executam e você aprova onde importa (1,7 mil estrelas)
fabro-sh/fabro
2:54 Encerramento
🧡 Oferecimento: Hallen Tech, liderança de tecnologia sob demanda, software, cloud e segurança para a sua empresa.
Site: hallentech.com
E-mail: contato@hallentech.com
Instagram: instagram.com
LinkedIn da Hallen Tech: linkedin.com
LinkedIn do Eddwan: linkedin.com
Se curtiu, deixa o like, segue o canal e ativa as notificações para a próxima lista.
#opensource #github #programacao #ferramentas
258 likes · 2 comments · 9,238 views
Mentions
Jumper: the open-source crab robot Jumper is an open-source robotic crab from KingKong Technology. Its compact servos use two encoders to track the motor and joint. Footage: KingKong Technology — kingkong.tech Simulation: KingKong Robotics, modified from docs/media/dance.gif — KingKongRobotics/jumper (Apache License 2.0; see repository LICENSE and NOTICE). #Robotics #OpenSource #Technology
Jumper, the open-source crab robot : In Search of Sun [V2] Jumper likes to see things from different angles. As a result, he sometimes finds himself in rather tricky situations. But every problem is an opportunity to learn - for him, and for us! Why this [V2]? Because some transitions could have been smoother, some scenes still needed a bit of fine-tuning in terms of timing, and a few details deserved to be more visible. And also because my son and I - being a little sadistic - hadn't yet found the time to try something on Jumper that had been on our minds for quite a while. Well, now we have! We have to admit, Jumper is an awfully good sport. 🦀✨ Did you spot all the details on Jumper's displays? Let us know in the comments! Many thanks to @KingKongRobotics and Jumper’s creators for their brilliant robot and the resources they have shared. We hope you enjoy watching it as much as we enjoyed making it! ---- 🛠️ What we added to the original model, or tested (based on our initial observations of its specs): • Solar panels, • Sunny spot detector (technical term: "prime nap zones"), • LED strips and their animations, • Back-walking (just in case), • First-person view and front display repurposing, • Unprecedented yet essential robotic features, with console status logs: purring, snoring, stretching, and paw-count checks, • AI features designed for Jumper: object detection powered by YOLO and a budget-conscious reasoning mode. When we first heard about the Jumper Crab Challenge, my son and I just looked at each other: "We're doing this!" This is my first attempt at creating a 3D animated short film, based on a story created with my son. From the storyboard, sets and Jumper’s appearance to animation, editing and sound - including the little details scattered throughout the scene and across the screens - the project was a process of learning, experimentation and refinement. Codex assisted with programming and automation, while I guided the choices that shaped the film. Optimizing hardware resources, developing ideas, giving detailed instructions, reviewing results, troubleshooting issues, and deciding what to keep or change required substantial human work and many iterations. Bringing the story to life meant paying close attention to expression, continuity, pacing, and the smallest details. All robot simulations, 3D scene creation, rendering, video editing and sound processing were carried out locally. The workflow used Python scripts developed with Codex assistance, MuJoCo for robot simulation, Blender for 3D scenes and rendering, and FFmpeg for assembly and encoding. We started with the official Jumper model and existing locomotion and posture tools. Walking and expressive gestures were simulated in MuJoCo, checking joint limits and ground contacts before transferring the resulting movements to Blender. Some imagined features and technical additions reflect what seemed technically plausible to me, rather than confirmed capabilities. The screens were also used creatively, without knowing their actual technical specifications. Initially, only the NVIDIA GPU rendered the 3D images. We brought the integrated AMD GPU into use, improved CPU task allocation, and optimized concurrent rendering on NVIDIA. We estimate an overall rendering throughput increase of approximately 39%, with unchanged quality settings. These experiments highlighted the importance of balancing the workload across available resources. ---- CREDITS Concept, story, Art direction: TonioBriss AI-assisted production with OpenAI Codex, under human direction and review. Tools: Blender/Cycles, MuJoCo, Python, FFmpeg, NumPy, SciPy, Pillow, Audaspace. Jumper: Copyright 2026 KingKong Robotics. Official robot geometry and display expressions adapted under the Apache License 2.0. Changes include black-and-purple styling, solar-panel and LED treatments, screen graphics and story-specific animation. • KingKongRobotics/jumper • apache.org Visual resources: • “Velour Velvet”: colormass & Rico Cilliers / Poly Haven (CC0) polyhaven.com • Countryside photograph: Gary Houston / Wikimedia Commons (CC0) commons.wikimedia.org • Fonts: DejaVu Sans & DejaVu Sans Mono • Object-detection graphics inspired by YOLO (You Only Look Once). Sound and ambience: • CC0 recordings: Joseph SARDIN / LaSonotheque, Kenney, Glitchedtones, Flem0527, deleted_user_2906614, mista bojjob, fvcalderan, odilonmarcenaro, kyles, ngruber, Burningmonkey, Joao_Janz, KoimeMatsuchiya, mickdow, and Saaabaaato. • Public domain recordings: Oona Räisänen (Mysid) – blackbird song; Adam Cuerden – purring. • Sources: LaSonotheque, Kenney, Freesound, OpenGameArt, Wikimedia Commons. Additional scenery, graphics and sounds created for this film. No music. Thank you to Jumper’s creators and the contributors behind these tools and resources! #Jumper #CrabRobot #OpenSourceRobot #Blender3D #robotics #mujoco #Linux
Open source do GitHub: #15 a #11 | Vol. 12 #shorts Os projetos #15 a #11 do Top 15 open source do GitHub, Vol. 12, 10 segundos para cada um. #15 wanderer: open-wanderer/wanderer #14 mStream: IrosTheBeggar/mStream #13 Jumper: KingKongRobotics/jumper #12 withoutBG: withoutbg/withoutbg-python #11 Helical Insight: helicalinsight/helicalinsight Vídeo completo com os 15: youtu.be Oferecimento: Hallen Tech, hallentech.com #shorts #opensource #github
Mais 15 projetos open source do GitHub que valem o seu tempo | Vol. 12 Mais 15 projetos open source do GitHub que valem o seu tempo, em contagem regressiva e com 10 segundos para cada um: de um robô caranguejo a uma fábrica de software com agentes, passando pelo runtime da NVIDIA para isolar agentes de IA e um escritório em pixel art feito no Brasil. 📺 Décimo segundo volume da série Open source do GitHub. Escolhidos pela análise da lista inteira (estrelas, frequência de commits, último commit, README, documentação, capturas e site), conferida em 22/10/2026. Qual desses você vai testar primeiro? Conta nos comentários! ⏱️ CAPÍTULOS E LINKS 0:00 Abertura 0:10 #15 wanderer: catálogo self-hosted das suas trilhas de GPS, com mapas, planejamento de rotas e compartilhamento (4 mil estrelas) open-wanderer/wanderer 0:20 #14 mStream: servidor de música self-hosted com apps no celular, capas automáticas e acesso fora de casa (2,4 mil estrelas) IrosTheBeggar/mStream 0:30 #13 Jumper: robô caranguejo de 22 articulações e o kit de IA para criar aparência, movimentos e cenas (2,8 mil estrelas) KingKongRobotics/jumper 0:40 #12 withoutBG: remove o fundo de imagens em Python, localmente com pesos abertos ou pela API na nuvem (1,3 mil estrelas) withoutbg/withoutbg-python 0:50 #11 Helical Insight: plataforma de BI open source com dashboards, relatórios e chat analítico com IA (1,1 mil estrelas) helicalinsight/helicalinsight 1:00 #10 json-render: framework de UI generativa: a IA monta a interface só com os componentes do seu catálogo (18,8 mil estrelas) vercel-labs/json-render 1:10 #9 OpenShell: runtime da NVIDIA que isola agentes de IA e aplica regras do que cada um pode acessar (17,8 mil estrelas) NVIDIA/OpenShell 1:20 #8 inlark: cliente de e-mail desktop para Linux, Windows e Mac, sem assinatura e sem telemetria inlark/inlark 1:30 #7 morphicons: transforma qualquer ícone SVG em outro com animação de mola, sem dependências (2,9 mil estrelas) guillermolg00/morphicons 1:40 #6 OpenOats: transcreve reuniões localmente no Mac e sugere falas a partir das suas notas (2,6 mil estrelas) yazinsai/OpenOats 1:50 #5 impeccable: skill com 24 comandos e regras que tiram a cara de IA do design de frontend (85 mil estrelas) pbakaus/impeccable 2:00 #4 Habblaud: escritório virtual em pixel art para os agentes do Claude Code e do Codex (projeto brasileiro) marmottajr/habblaud 2:10 #3 explainroo: vídeos explicativos com narração feitos pelo seu agente de IA, renderizados no seu computador vincentsch/explainroo 2:20 #2 ClawRouter: roteador que escolhe o modelo de IA mais barato capaz de cada tarefa (6,6 mil estrelas) BlockRunAI/ClawRouter 2:30 Oferecimento Hallen Tech 2:44 #1 Fabro: fábrica de software open source: o processo vira um grafo, os agentes executam e você aprova onde importa (1,7 mil estrelas) fabro-sh/fabro 2:54 Encerramento 🧡 Oferecimento: Hallen Tech, liderança de tecnologia sob demanda, software, cloud e segurança para a sua empresa. Site: hallentech.com E-mail: contato@hallentech.com Instagram: instagram.com LinkedIn da Hallen Tech: linkedin.com LinkedIn do Eddwan: linkedin.com Se curtiu, deixa o like, segue o canal e ativa as notificações para a próxima lista. #opensource #github #programacao #ferramentas
Jumper Jumper is an open-source Python toolkit for a 22-DoF crab robot that lets AI coding agents design appearances and scenes, train motions with reinforcement learning, and package them for deployment to the real robot. KingKongRobotics/jumper
@AlertaNews24 Se llama Jumper, aquí el repositorio: KingKongRobotics/jumper
🦀Jumper is open source on GitHub: KingKongRobotics/jumper
兄弟们，开源的小螃蟹机器人 Jumper真的太酷啦！它拥有22个高自由度动作。不但长得萌，动作还很灵活！能搬东西，甚至能跳舞。 现在作者已经把整个项目开源了，想要的兄弟自己就能照着搭一只！ 传送门：KingKongRobotics/jumper t.co
結構デカイのでちくわがびびりそう KingKongRobotics/jumper
Jumper – a 22-DoF crab robot