activity
20242026
collaborators

7 papers

cs.RO2026

LEAP: Gradient Flow Augmented Lagrangian Trajectory Optimization for Contact Constrained Robots

César E. Ramos Chuquiure, Ryan Tsai, Yutong Zhou +8

Generating dynamically feasible motions for legged and manipulating robots requires solving a large, nonlinear, non-convex optimal control problem (OCP) in which contact wrenches m…

cs.CL2026

Beyond APIs: Probing the Limits of MLLMs in Physical Tool Use

Zhixin Ma, Yutong Zhou, Yongqi Li +2

Multimodal Large Language Models (MLLMs) excel at utilizing digital APIs and increasingly serve as the "brain" of embodied AI, instructing robots to interact with the physical worl…

cs.LG2026

Representation Collapse in Sequential Post-Training of Large Language Models

Yichen Liu, Mingyu Chen, Hao Wang +7

Large language models are now adapted through chains of post-training stages rather than through a single instruction-tuning pass. This paper studies whether such sequential post-t…

cs.AI2025

Agentic Explainable Artificial Intelligence (Agentic XAI) Approach To Explore Better Explanation: A Case Study in Decision Support for Rice Cultivation in Japan

Tomoaki Yamaguchi, Yutong Zhou, Masahiro Ryo +1

Explainable artificial intelligence (XAI) reveals how explanatory variables relate to a response variable, yet communicating XAI outputs to laypersons remains difficult, limiting t…

cs.CV2025

From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat Explanations

Yutong Zhou, Masahiro Ryo

Explaining why the species lives at a particular location is important for understanding ecological systems and conserving biodiversity. However, existing ecological workflows are…

cs.RO2025

Phasing Through the Flames: Rapid Motion Planning with the AGHF PDE for Arbitrary Objective Functions and Constraints

Challen Enninful Adu, César E. Ramos Chuquiure, Yutong Zhou +5

The generation of optimal trajectories for high-dimensional robotic systems under constraints remains computationally challenging due to the need to simultaneously satisfy dynamic…

cs.CV2024

AgriBench: A Hierarchical Agriculture Benchmark for Multimodal Large Language Models

Yutong Zhou, Masahiro Ryo

We introduce AgriBench, the first agriculture benchmark designed to evaluate MultiModal Large Language Models (MM-LLMs) for agriculture applications. To further address the agricul…