4 citations · 9 across the 6 of their papers we have counts for
11 papers
ContraMap: Contrastive Uncertainty Mapping for Robot Environment Representation
Chi Cuong Le, Weiming Zhi
Reliable robot perception requires not only predicting scene structure, but also identifying where predictions should be treated as unreliable due to sparse or missing observations…
Constraining Streaming Flow Models for Adapting Learned Robot Trajectory Distributions
Jieting Long, Dechuan Liu, Weidong Cai +2
Robot motion distributions often exhibit multi-modality and require flexible generative models for accurate representation. Streaming Flow Policies (SFPs) have recently emerged as…
Affordance Transfer Across Object Instances via Semantically Anchored Functional Map
Xiaoxiang Dong, Weiming Zhi
Traditional learning from demonstration (LfD) generally demands a cumbersome collection of physical demonstrations, which can be time-consuming and challenging to scale. Recent adv…
ConEQsA: Concurrent and Asynchronous Embodied Questions Scheduling and Answering
Haisheng Wang, Dong Liu, Weiming Zhi
This paper formulates the Embodied Questions Answering (EQsA) problem, introduces a corresponding benchmark, and proposes an agentic system to tackle the problem. Classical Embodie…
Parallelised Diffeomorphic Sampling-based Motion Planning
Tin Lai, Weiming Zhi, Tucker Hermans +1
We propose Parallelised Diffeomorphic Sampling-based Motion Planning (PDMP). PDMP is a novel parallelised framework that uses bijective and differentiable mappings, or diffeomorphi…
Probabilistic Trajectory Prediction with Structural Constraints
Weiming Zhi, Lionel Ott, Fabio Ramos
This work addresses the problem of predicting the motion trajectories of dynamic objects in the environment. Recent advances in predicting motion patterns often rely on machine lea…