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Yide Liu

3 accepted papers

2025

SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading

EMNLP 2025

Large language models (LLMs) demonstrate remarkable performance across diverse tasks, yet their effectiveness frequently depends on costly commercial APIs or cloud services. Model selection thus entails a critical trade-off between performance and cost: high-performing LLMs typically incur substanti

Cited by 0SourcePDFScholar
2022

S2worm: A Fast-Moving Untethered Insect-Scale Robot With 2-DoF Transmission Mechanism

RA-L 2022

Designing terrestrial insect-scale robot with high maneuverability and autonomy is becoming an essential challenge in the field of robotics research. Previous work has indicated that compact transmission and integrated control devices can improve the application potential. In this work, an untethere

Cited by 20SourceScholar
2020

BioARS: Designing Adaptive and Reconfigurable Bionic Assembly Robotic System with Inchworm Modules

IROS 2020poster

Designing a swarm of robots to address different tasks and adapt to various environments through self-assembly is one of the most challenging topics in the field of robotics research. Here, we present an assembly robotic system with inchworm robots as modules. The system is called BioARS (Bionic Ass…

Cited by 7SourceScholar