37 citations · 38 across the 7 of their papers we have counts for
8 papers
Co-Evolving Robot Orchestrators and Policies through Deployment
Xilun Zhang, Maggie Wang, Erik Bauer +4
Vision-language-action (VLA) policies trained on large datasets are capable within their training domains, yet they still fail to generalize to the variety of situations a robot me…
UniMem: Unifying Visual and Textual Memory in VLAs for Non-Markovian Tasks
Lars Osterberg, Maggie Wang, Mac Schwager
While Vision-Language-Action (VLA) models have leveraged internet-scale pretraining and task-specific finetuning to achieve strong performance on long-horizon tasks, they often str…
InSight: Self-Guided Skill Acquisition via Steerable VLAs
Maggie Wang, Lars Osterberg, Stephen Tian +5
Vision-language-action (VLA) models excel at robot manipulation via imitation learning, but adapting them to new tasks often requires additional human demonstrations, which can be…
Comparing State-Representations for DEL Model Checking
Gregor Behnke, Malvin Gattinger, Avijeet Ghosh +1
Model checking with the standard Kripke models used in (Dynamic) Epistemic Logic leads to scalability issues. Hence alternative representations have been developed, in particular s…
Phys2Real: Fusing VLM Priors with Interactive Online Adaptation for Uncertainty-Aware Sim-to-Real Manipulation
Maggie Wang, Stephen Tian, Aiden Swann +3
Learning robotic manipulation policies directly in the real world can be expensive and time-consuming. While reinforcement learning (RL) policies trained in simulation present a sc…
Towards Foundation Models for 3D Vision: How Close Are We?
Yiming Zuo, Karhan Kayan, Maggie Wang +3
Building a foundation model for 3D vision is a complex challenge that remains unsolved. Towards that goal, it is important to understand the 3D reasoning capabilities of current mo…
Post-hoc Concept Bottleneck Models
Mert Yuksekgonul, Maggie Wang, James Zou
Concept Bottleneck Models (CBMs) map the inputs onto a set of interpretable concepts (``the bottleneck'') and use the concepts to make predictions. A concept bottleneck enhances in…
FlowDB a large scale precipitation, river, and flash flood dataset
Isaac Godfried, Kriti Mahajan, Maggie Wang +2
Flooding results in 8 billion dollars of damage annually in the US and causes the most deaths of any weather related event. Due to climate change scientists expect more heavy preci…