# Michael Cho

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Ep#103: Freeform Preference Learning for Robotic Manipulation

Specifying reward functions for robots is one of the hardest things about reinforcement learning. Robot rewards often need to be very detailed; metrics like progress can be ill-defined and hard to estimate. This leads to most robot learning defaulting to sparse rewards or simple preference learni...

Ep#104: Light-Loco-Parkour: Versatile Perceptive Whole-Body Locomotion via Multi-Skill Distillation

One of the key advantages of legged robots like humanoids should be how effectively they can move across a wide variety of terrain types to accomplish their task. But Light-Loco-Parkour from the team at Light Origins aims to change that: using only onboard sensing, they show a policy which can de...

Ep#105: Beyond Imitation: Self-Improving Robot Policies via Off-Policy Q-Planning

Imitation learning, especially with interventions, has driven so much recent robotics progress. However, improving a policy via targeted interventions until it reaches a useful and deployable success rate is a time and labor intensive process. Instead, wouldn’t it be great if policies could impro...

Back Issue Bloodbath Episode 563: An Interview with Michael Cho at Fan Expo Canada

This week on Back Issue Bloodbath, it's the last of our interviews from Fan Expo Canada 2026 as Andrew sits down with artist Michael Cho! The post Back Issue Bloodbath Episode 563: An Interview with Michael Cho at Fan Expo Canada appeared first on Geek Hard.

Jaffles with Jethro w/Michael Cho

A hot ep with our mate Michael Cho. Capper discusses selling his soul and his dignity to eat the worlds hottest Jaffle, we nominate Jethro Sheeran as the worlds greatest cousin, and so many more ripper yarns in this hot ep. Join the PATREON HERE - Just $7 (AUD) for bonus eps and content - get to...

Back Issue Bloodbath Episode 563: An Interview with Michael Cho at Fan Expo Canada

This week on Back Issue Bloodbath, it's the last of our interviews from Fan Expo Canada 2026 as Andrew sits down with artist Michael Cho! The post Back Issue Bloodbath Episode 563: An Interview with Michael Cho at Fan Expo Canada appeared first on Geek Hard.

Ep#110: ENPIRE: Agentic Robot PolicySelf-Improvement in the Real World

In many fields, automated research has become increasingly plausible with the improving capabilities of frontier language models, and the field robotics may be no exception. In ENPIRE, Wenli Xiao, Jia Xie, and Tonghe Zhang build a harness framework that captures physical feedback and allows for a...

Ep#111: SOLE-R1: Video-Language Reasoning as the Sole Reward for On-Robot Reinforcement Learning

Reinforcement learning is often seen as key to achieving scalable, highly reliable real-world robot performance, yet it requires good reward functions that can supervise the wide range of tasks that need to be performed. The obvious thing to try would be a large vision-language model (VLM), but t...

Booksplode #70 – The Avengers in The Veracity Trap!

Thanks to our awesome Patrons, we’re proud to present another Booksplode! This month, Conor Kilpatrick and Josh Flanagan take a look at… The Avengers in The Veracity Trap! by Chip Kidd & Michael Cho. Running Time: 00:31:25 What’s a Booksplode? It’s a bi-monthly special edition show in which w...

Ep#112: SlipSense and Touch2Trace

Touch is crucial for humans when they want to perform precise tasks to a high degree of reliability, and yet robots almost universally use vision — they’re often completely blind to this whole modality. Two works from Tong Jian, Tao Yu, Saleh Nabi, and Matteo Grimaldi show us how important this s...