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20232026
most citedTopology, dynamics, and control of an octopus-analog muscular hydrostat

3 citations · 3 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Diverse and Adaptable Arm Coordination for Octopus-Crawling via Diffusion-Based Uncertainty-Aware Optimization

Seung Hyun Kim, Heng-Sheng Chang, Kimia Kazemi +2

Octopus crawling motivates soft robots that exploit redundancy, yet discovering and organizing diverse coordination modes for adaptation remains challenging. To address this, we in…

cs.CE2026

Elastica++: A high-performance, multiphysics framework for large interacting assemblies of Cosserat rods

Tejaswin Parthasarathy, Seung Hyun Kim, Songyuan Cui +1

Soft, slender structures are ubiquitous in natural and engineered systems, with broad application potential from biomimetic materials to soft robotics. However, there is a notable…

cs.CL2026

Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs

Guijin Son, Seungone Kim, Catherine Arnett +73

Following the recent achievement of gold-medal performance on the IMO by frontier LLMs, the community is searching for the next meaningful and challenging target for measuring LLM…

cs.NE2026

Computing with Living Neurons: Chaos-Controlled Reservoir Computing with Knowledge Transplant

Seung Hyun Kim, Zhi Dou, Gaurav Upadhyay +6

We introduce chaos-controlled Reservoir Computing (cc-RC) for living neural cultures: dynamically rich substrates of unique potential for adaptive computation. To account for intri…

cs.LG2026

Joint Surrogate Learning of Objectives, Constraints, and Sensitivities for Efficient Multi-objective Optimization of Neural Dynamical Systems

Frithjof Gressmann, Ivan Georgiev Raikov, Seung Hyun Kim +3

Gaussian process surrogates dominate constrained multi-objective optimization because they are effective in data-scarce regimes, but their cubic scaling in training samples limits…