16 citations · 16 across the 8 of their papers we have counts for
8 papers
Interleaved POMDP Planning for Multi-Object Search in Unknown Multi-Room Household Environments
Ruochu Yang, Ziyi Xia, Huibo Zhang +6
Multi-object search in unknown household environments requires planning under extensive uncertainty - from unknown object locations to cluttered spaces with unobserved obstacles. P…
On-Line Policy Iteration with Trajectory-Driven Policy Generation
Yuchao Li, Fei Chen, Yingke Li +2
We consider deterministic finite-horizon optimal control problems with a fixed initial state. We introduce an on-line policy iteration method, which, starting from a given policy,…
SEED-SET: Scalable Evolving Experimental Design for System-level Ethical Testing
Anjali Parashar, Yingke Li, Eric Yang Yu +4
As autonomous systems such as drones, become increasingly deployed in high-stakes, human-centric domains, it is critical to evaluate the ethical alignment since failure to do so im…
Curiosity is Knowledge: Self-Consistent Learning and No-Regret Optimization with Active Inference
Yingke Li, Anjali Parashar, Enlu Zhou +1
Active inference (AIF) unifies exploration and exploitation by minimizing the Expected Free Energy (EFE), balancing epistemic value (information gain) and pragmatic value (task per…
Pragmatic Curiosity: A Unified Framework for Hybrid Learning and Optimization via Active Inference
Yingke Li, Anjali Parashar, Enlu Zhou +1
Many engineering and scientific workflows rely on expensive black-box evaluations, requiring sequential decisions that must both improve task performance and reduce uncertainty. Ba…
Bayesian Risk-averse Model Predictive Control with Consistency and Stability Guarantees
Yingke Li, Yifan Lin, Enlu Zhou +1
Model Predictive Control (MPC) is a powerful framework for constrained control, but its performance and safety can be severely degraded when the prediction model is learned online…
Trust-Preserved Human-Robot Shared Autonomy enabled by Bayesian Relational Event Modeling
Yingke Li, Fumin Zhang
Shared autonomy functions as a flexible framework that empowers robots to operate across a spectrum of autonomy levels, allowing for efficient task execution with minimal human ove…
Towards Safe Locomotion Navigation in Partially Observable Environments with Uneven Terrain
Jonas Warnke, Abdulaziz Shamsah, Yingke Li +1
This study proposes an integrated task and motion planning method for dynamic locomotion in partially observable environments with multi-level safety guarantees. This layered plann…