3 accepted papers
Data-driven methods offer promising solutions for robotic manipulation in human-centric environments, but enabling robots to operate complex appliances from natural language remains a significant challenge. The ambiguity of human instructions and the visual diversity of real-world objects make it di
Randomized response (RR) mechanisms constitute a fundamental and effective technique for ensuring label differential privacy (LabelDP). However, existing RR methods primarily focus on the response labels while overlooking the influence of covariates and often do not fully address optimality. To addr…
With the rapid development of large language models (LLM), robots are starting to enjoy the benefits of new interaction methods that large language models bring. Because edge computing fulfills the needs for rapid response, privacy, and network autonomy, we believe it facilitates the extensive deplo