ACTIVITIES

Research,
Conferences
& Field Notes

Notes on international conferences, research stays, collaborations, and real-robot experiments.

5

Activity entries

IROS 2024

International conference participation

CY Cergy

Research stay in France

HRI / FEP

Core research focus

ACTIVITY LOG

Recent Activities

5 entries

Aug 27, 2026

arXiv preprint: Should a Compact Robot Controller Be Organized as Observation-to-Action Mapping at All? (PredVLA)

Is compressing a large VLA really the right way to build a small robot policy? PredVLA examines this question not by shrinking observation-to-action mapping, but from a different computational principle: predicting the sensorimotor world and inferring the latent state through prediction error. With no robot-data pretraining and about 0.68M trainable parameters, it reaches 86.94% mean success across the three short-horizon LIBERO suites, far above BC-Transformer (19.73%) and BC-LSTM (10.26%) given the same parameter budget and the same frozen front end.

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Aug 24, 2026

arXiv preprint: Gating Plasticity by Free Energy for Online Motor Learning (FEGP)

We released a preprint on Free-Energy-Gated Plasticity (FEGP), a method for acquiring and retaining multiple motor patterns during real-time physical human-robot interaction without pretraining, replay, or task-boundary signals. We extend PV-RNN so that it continuously adapts its synaptic weights, and gate the effective learning rate by the variational free energy so that acquiring new behaviors does not overwrite previously acquired ones.

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ICRA 2026 @ Vienna

Jun 8, 2026

ICRA 2026 @ Vienna

I attended the IEEE International Conference on Robotics and Automation (ICRA) 2026 in Vienna and presented our work, CERNet: Class-Embedding Predictive-Coding RNN for Unified Robot Motion, Recognition, and Confidence Estimation, as a poster presentation. In this work, we proposed CERNet, a unified model that combines class embedding with a predictive-coding RNN to handle robot motion generation, recognition, and confidence estimation within a single model. The paper is expected to be published in the conference proceedings.

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Participated in IROS2024 @Abu Dhabi

Oct 14, 2024

Participated in IROS2024 @Abu Dhabi

I participated in IROS (IEEE International Conference on Intelligent Robots and Systems) in Abu Dhabi with a Late Breaking Poster (LBP) presentation. As an extension of the Predictive-Coding inspired Variational RNN (PV-RNN), I analyzed how the internal state representations change when the number of learned motions is gradually increased through incremental learning, using principal component analysis (PCA). Since these are preliminary results, I presented them as an LBP, but I plan to further develop this work in more interesting directions in the future.

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