Agile perceptive multi-skill locomotion for quadrupedal robots in the wild
Enabling quadrupedal robots to traverse complex terrains-from rugged outdoor environments to urban landscapes-requires seamless integration of multiple motor skills, smooth transitions between gaits, and high-speed perceptive locomotion usi
https://arxiv.org/abs/2607.13579v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
▸ Add / edit details
Correct facts used on the next screening or memo.
People
J
Jun-Gill Kang
1.0
low confidence
J
Jaehyun Park
1.0
low confidence
T
Tae-Gyu Song
1.0
low confidence
J
Joon-Ha Kim
1.0
low confidence
S
Seungwoo Hong
1.0
low confidence
H
Hae-Won Park
1.0
low confidence
Activity & evidence
Similar baseline plays (YC · idea space)
Cortex AI
· Active
Large-scale real-world robot & human data for embodied AI
founders not scraped yet
Ultra
· Active
Practical, general-purpose robots for repetitive industrial tasks
Jon Miller Schwartz
Max Friefeld