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Michael Lingelbach

7 accepted papers

2024

Phased Consistency Models

NeurIPS 2024poster

Consistency Models (CMs) have made significant progress in accelerating the generation of diffusion models. However, their application to high-resolution, text-conditioned image generation in the latent space remains unsatisfactory. In this paper, we identify three key flaws in the current design of…

2023

Modeling Dynamic Environments with Scene Graph Memory

ICML 2023poster

Embodied AI agents that search for objects in large environments such as households often need to make efficient decisions by predicting object locations based on partial information. We pose this as a new type of link prediction problem: link prediction on partially observable dynamic graphs Our gr…

Cited by 14SourcePDFScholar
2023

Task-Driven Graph Attention for Hierarchical Relational Object Navigation

ICRA 2023poster

Embodied AI agents in large scenes often need to navigate to find objects. In this work, we study a naturally emerging variant of the object navigation task, hierarchical relational object navigation (HRON), where the goal is to find objects specified by logical predicates organized in a hierarchica…

Cited by 7SourceScholar
2022

BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation

CoRL 2022oral

We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an extensive survey on "what do you want robots to do for you?". The first is the definition of 1,000 everyday activities, grounded in…

Cited by 205SourceScholar
2021

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments

CoRL 2021poster

We introduce BEHAVIOR, a benchmark for embodied AI with 100 activities in simulation, spanning a range of everyday household chores such as cleaning, maintenance, and food preparation. These activities are designed to be realistic, diverse and complex, aiming to reproduce the challenges that agents…

Cited by 176SourceScholar
2021

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

NeurIPS 2021poster

We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables the simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include real-time near-photo-realistic image ren…

Cited by 342SourcecodeScholar
2021

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks

CoRL 2021poster

Recent research in embodied AI has been boosted by the use of simulation environments to develop and train robot learning approaches. However, the use of simulation has skewed the attention to tasks that only require what robotics simulators can simulate: motion and physical contact. We present iGib…

Cited by 268SourceScholar