Me | Lingheng Meng

I am a CSIRO Early Research Career (CERC) Postdoctoral Fellow at CSIRO Technology and an Adjunct Lecturer in Electrical and Computer Systems Engineering at Monash University. My research asks how to make robots that learn from and act alongside people robust and trustworthy in real-world deployment. I work on deep reinforcement learning, preference learning, and human-robot interaction, applied to manipulation, legged locomotion, and assistive robotics. I received my PhD from the University of Waterloo in 2023.

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Lingheng Meng

Multi-step first: A lightweight deep reinforcement learning strategy for robust continuous control with partial observability

Explaining Why Things Go Where They Go: Interpretable Constructs of Human Organizational Preferences

Towards Perception-Aware Shared Autonomy: A Multimodal Teleoperation Dataset for Fragile Object Manipulation

A Benchmark for Cycling Close Pass Detection from Video Streams

Detecting Near-Miss Events with Cyclists Using Computer Vision Approaches

Memory-based Deep Reinforcement Learning for POMDPs

Learning to Engage with Interactive Systems: A Field Study on Deep Reinforcement Learning in a Public Museum

The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning

The Research of Stacked Denoising Sparse Autoencoder

Towards Individualized Affective Human-Machine Interaction