EMBER x HIC Seminar

Fall 2026 Co-hosted with CITRIS and the Banatao Institute and Humanoid Intelligence Center (HIC) at BAIR

Most Wednesdays, 11 a.m. – noon Banatao Auditorium (Floor 3), Sutardja Dai Hall, UC Berkeley

No registration required. Hosted in person; recordings available afterwards.

Next up Wed, November 4, 2026
Photo of Matt Mason

Matt Mason

Carnegie Mellon University

Why Is Robotics Hard?

Location change: Gateway 4355
Abstract

Is robotics hard? Moravec's paradox suggests that it is. Moravec's paradox says that the things we expected to be hard, like playing champion-level chess, turned out to be easy. And the things we expected to be easy, like moving the chess pieces, turned out to be hard. This seems to be born out in recent experience — after 50 years of work our robots still cannot move chess pieces as well as any eight-year-old child. One explanation is that manipulation is fundamentally hard. But there is another explanation: roboticists are dense. This talk will explore both possibilities.

Coming up

  • Nov 18 Photo of Karen Adolph

    Karen Adolph · NYU

  • Dec 2 Photo of Stephanie Gil

    Stephanie Gil · Harvard University

  • Dec 4 Photo of Luca Carlone

    Luca Carlone · MIT

  • Dec 14 Photo of Maryam Kamgarpour

    Maryam Kamgarpour · EPFL

Past Talks (25)

Photo of Lining Yao
October 28, 2026

Lining Yao (UC Berkeley): Fluidic Shape Morphing Skin for Robotics

Photo of Guanya Shi
October 23, 2026

Guanya Shi (Carnegie Mellon University): Toward Generalist Humanoids: Learning from Human and Robot Experience

Photo of Aaron Ames
October 21, 2026

Aaron Ames (Caltech): Safe Autonomy for Humanoid Robots

Photo of Joseph Moore
October 14, 2026

Joseph Moore (Johns Hopkins University): Defying the Limits: Safe Control for Highly Agile Robots in Extreme Environments

Photo of Dimitra Panagou
October 7, 2026

Dimitra Panagou (University of Michigan Ann Arbor)

Photo of Shuran Song
September 16, 2026

Shuran Song (Stanford University): Making Manipulation as Simple as Possible but Not Simpler

Cathy Wu (MIT): Tackling the Long Tail of Transportation Optimization with Machine Learning
April 29, 2026 recording

Cathy Wu (MIT): Tackling the Long Tail of Transportation Optimization with Machine Learning

Mac Schwager (Stanford): How General are Generalist Robot Policies?
April 22, 2026 recording

Mac Schwager (Stanford): How General are Generalist Robot Policies?

Leslie Kaelbling (MIT): Rational Robots
April 20, 2026 recording

Leslie Kaelbling (MIT): Rational Robots

Jaime Fernández Fisac (Princeton): Scaling Safety-Critical Control Without Surrendering Guarantees
April 15, 2026 recording

Jaime Fernández Fisac (Princeton): Scaling Safety-Critical Control Without Surrendering Guarantees

Allison Okamura (Stanford): When Robots Care: Assistive Medical Robotics from Hospital to Home
April 1, 2026 recording

Allison Okamura (Stanford): When Robots Care: Assistive Medical Robotics from Hospital to Home

David Hyunchul Shim (KAIST): From Drones to Cars to Generalist Approaches
March 18, 2026 recording

David Hyunchul Shim (KAIST): From Drones to Cars to Generalist Approaches

Alison Gopnik (UC Berkeley): Causal Learning as Empowerment Gain
March 11, 2026 recording

Alison Gopnik (UC Berkeley): Causal Learning as Empowerment Gain

Carlo Sferrazza (Amazon FAR): Humanoid Robot Learning
February 18, 2026 recording

Carlo Sferrazza (Amazon FAR): Humanoid Robot Learning

Sergey Levine (UC Berkeley): Robot Foundation Models
February 11, 2026 recording

Sergey Levine (UC Berkeley): Robot Foundation Models

Rodney Brooks (MIT): Designing Embodied Intelligences with Which People Will Willingly Cohabit
February 4, 2026 recording

Rodney Brooks (MIT): Designing Embodied Intelligences with Which People Will Willingly Cohabit

Zen Luo (NVIDIA): Building Humanoid Behavior Foundation Models
January 28, 2026 recording

Zen Luo (NVIDIA): Building Humanoid Behavior Foundation Models

Madhur Behl (UVA): Bringing AI Up to Speed
November 19, 2025 recording

Madhur Behl (UVA): Bringing AI Up to Speed

Pannag Sanketi (Google DeepMind): Achieving Human Level Competitive Robot Table Tennis - The Journey
November 5, 2025 recording

Pannag Sanketi (Google DeepMind): Achieving Human Level Competitive Robot Table Tennis - The Journey

Maani Ghaffari (UMich): Computational Symmetry and Learning for Robotics
October 29, 2025 recording

Maani Ghaffari (UMich): Computational Symmetry and Learning for Robotics

John Bicket (Samsara): Making a Real World Impact
October 15, 2025 recording

John Bicket (Samsara): Making a Real World Impact

Haozhi Qi (UC Berkeley): The Atomic Skill Approach for Robot Dexterity
October 8, 2025 recording

Haozhi Qi (UC Berkeley): The Atomic Skill Approach for Robot Dexterity

Giuseppe Loianno (UC Berkeley): Learning Robot Super Autonomy
October 1, 2025 recording

Giuseppe Loianno (UC Berkeley): Learning Robot Super Autonomy

Soon-Jo Chung (Caltech): Learning and Decision Making for Agile Robots Under Failure
September 17, 2025 recording

Soon-Jo Chung (Caltech): Learning and Decision Making for Agile Robots Under Failure

Ken Goldberg (UC Berkeley): Good Old-Fashioned Engineering Can Close the 100,000-Year “Data Gap”
September 10, 2025 recording

Ken Goldberg (UC Berkeley): Good Old-Fashioned Engineering Can Close the 100,000-Year “Data Gap”