88 lines
2.8 KiB
Markdown
88 lines
2.8 KiB
Markdown
---
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title: Witty Machines - 1
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created_date: 2024-11-04
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updated_date: 2024-11-04
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meeting_date: 2024-11-04
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aliases:
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tags:
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type: habit
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status: not_started
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---
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# Witty Machines - 1
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- **🏷️Tags** : #11-2024 #habit
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---
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## Meeting Summary
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### Participants
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- Ken Blomqvist
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### Summary
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> [!important] Witty Machines - 1
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> Please summarize the meeting here
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## Preparation
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### Research
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#### Witty Machines
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- Building general manipulation systems
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- building general purpose, physically intelligent robots for fine-grained manual tasks in industrial environments
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- Food industry.
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**Johannes**: phd in control (robotic manipulation, mpc, mobile robots, collaboration, construction robots)
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**Ken**: phd in perception systems for mobile manipulation applications.
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### Questions
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About what company does?
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- [ ] software only, or hardware as well?
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- [ ] What are customers? You mentioned food industry
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- [ ] Consulting company or high growth startup?
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- [ ] MVP?
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- [ ] competitive advantage?
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- [ ] what's the biggest risk you face and how do you manage it?
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Role
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- [ ] What role are you hiring for? Is it just employee or co-founding?
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- [ ]
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Finance and Business
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- [ ] Founded April 2024 --> Whats the vision, whats the roadmap?
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- [ ] Where does funding come from? What is the plan with funding?
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- [ ] Whats the company's balance sheet like?
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### Points to Discuss
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-
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## Meeting Minutes
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Funding:
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- Illusion Finland
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- Seedcamp (convertible note)
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- Clearpath robotics: ryan
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Competitors:
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- [Ovo tech](https://egg-breakers.com/)
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- [MOBA | Egg grading and packing](https://www.moba.net/)
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Sales
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- goal is to sell 50-100 units in the next year (up to 20 per customer)
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Risk
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- hiring: he sees the biggest challenge in hiring right now.
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Tech
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- using cobots and off the shelf cameras
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- Mostly computer vision and steering
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- ros2, with control and planning pipeline. Currently no end-to-end learning solution because they want to ship fast.
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- problems
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- hand-eye coordination
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- camera calibration
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Roadmap
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- solve egg packaging problem, sell test iterate, niche market. Expand world wide.
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- Then find next niche and repeat.
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- eventually going into planting / harvesting
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He mentioned that the founders are not convinced that LLM like models for robots will exist anytime soon, which is why they think that problems need to be solved using unique solutions for niche problems by using more traditional approaches and only leveraging AI and Machine Learning for established subtasks.
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---
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## Reflection
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- Good answers to:
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- What is the most challenging problem you've solved at OneSec?
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- I need to reflect upon my time at OneSec: what are problems that I actually solved and where innovation happened?
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- Have a better story why I left OneSec --> don't bash on them
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- What are my strengths and my weaknesses? How would I contribute to Witty Machines? |