Who's Who of AI

Michiel van de Panne

193 trust researcher @mvandepanne.bsky.social · 3,088 followers
Agents & robotics AI research Compute & infrastructure
Why they matter

Researcher with public evidence across Agents & robotics, AI research, Compute & infrastructure.

AI signals
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past 30d
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past 30d
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4h ago
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UBC Computer Science; physics-based models of human movement; deep reinforcement learning; animation; robotics
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Articles & links

↻ Michiel van de Panne reposted
Christian Wolf @chriswolfvision.bsky.social

FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding Dessalene et al., UMD #ECCV2026 oral arxiv.org/abs/2603.15847 Very nice!

FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding arxiv.org
AI Weekly's analysis →
  • FEEL contains approximately 3 million force-synchronized frames of unscripted kitchen manipulation captured from custom piezoresistive gloves and egocentric video.
  • 45% of frames involve hand-object contact; the paper reports state-of-the-art temporal contact segmentation without manual contacted-object annotations.
  • Using force prediction as a self-supervised pretraining objective improved transfer to EPIC-Kitchens, SomethingSomething-V2, EgoExo4D, and Meccano.
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↻ Michiel van de Panne reposted
Glen Berseth @glenberseth.bsky.social

#IROS2026 has 1,933 papers. I filtered them down to 3 reading lists totalling 130 papers on robot learning, VLAs, RL fine-tuning of robot policies, imitation learning, and world models, with session times, rooms, and related workshops. Happy reading! www.fracturedplane.com/blo…

fracturedplane.com View on Bluesky →

Ken Goldberg nicely captures the potential paradigm shift created by agentic AI workflows for robotics, i.e., towards automated iteration over simulations design/testing/training. x.com/ken_goldberg...

Ken Goldberg (@Ken_Goldberg) on X x.com
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 9d ago

Ken Goldberg nicely captures the potential paradigm shift created by agentic AI workflows for robotics, i.e., towards automated iteration over simulations design/testing/training. x.com/ken_goldberg...

Ken Goldberg (@Ken_Goldberg) on X x.com
View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 9d ago

TIL that the AI bubble has its own Wikipedia page. Let's see where this goes. No moat, and obviously very useful but with no obvious path to strong ROI? (cf. low margin airline industry) en.wikipedia.org/wiki/AI_bubble

AI bubble - Wikipedia en.wikipedia.org
View on Bluesky · ♥ 3 ↻ 2 ↩ 0 · 56d ago
Their own posts

Recent commentary

There is no AI moat, aside from speculative AGI escape velocity.

View on Bluesky · ♥ 2 ↻ 0 ↩ 0 · 83d ago
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