29 citations · 61 across the 9 of their papers we have counts for
11 papers
Rephrase Before You Act: Characterizing and Mitigating Language Sensitivity in Vision-Language-Action Models
Mikey Watts, Yuchen Cui
Vision-language-action models (VLAs) are strikingly sensitive to instruction phrasing and do not inherit the language robustness of the vision-language models they are built on. A…
Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA
Tristan Kirscher, Niklas C. Koser, Soren Pirk
We describe our submission to the MedReason 2026 challenge, covering multiple-choice (MCQ) and open-ended (OE) medical visual question answering (VQA) under fully offline, containe…
Hydra: A Navigation World Action Model with Discrete Latent Planning and Continuous Flow-Matching Execution
Mohammad Nazeri, Alexandyr Card, Samira Huber +6
World models let robots imagine possible futures, but exploiting this capability for real-time planning is bottlenecked by a representation misalignment: generative models and plan…
MemWM: Memory-Augmented Text-Based World Model
Yujun Wang, Tao Zhang, Jinhe Bi +9
World models are increasingly used to support planning in agents by predicting how environment states evolve in response to agent actions. Yet fluent next-state predictions can sti…
HUMEMBR: Learning Human Routines for Predictive Embodied Navigation
Samira Huber, Klaas Pelzer, Duc M. Nguyen +2
Understanding and navigating human-centered environments over extended periods of time while considering human behavior and routines remains a fundamental challenge in robotics. In…
Understanding Fire Through Thermal Radiation Fields for Mobile Robots
Anton R. Wagner, Madhan Balaji Rao, Xuesu Xiao +1
Safely moving through environments affected by fire is a critical capability for autonomous mobile robots deployed in disaster response. In this work, we present a novel approach f…
Gesture2Path: Imitation Learning for Gesture-aware Navigation
Catie Cuan, Edward Lee, Emre Fisher +5
As robots increasingly enter human-centered environments, they must not only be able to navigate safely around humans, but also adhere to complex social norms. Humans often rely on…
A Protocol for Validating Social Navigation Policies
Sören Pirk, Edward Lee, Xuesu Xiao +3
Enabling socially acceptable behavior for situated agents is a major goal of recent robotics research. Robots should not only operate safely around humans, but also abide by comple…
Modeling Long-horizon Tasks as Sequential Interaction Landscapes
Sören Pirk, Karol Hausman, Alexander Toshev +1
Complex object manipulation tasks often span over long sequences of operations. Task planning over long-time horizons is a challenging and open problem in robotics, and its complex…
Data-Efficient Learning for Sim-to-Real Robotic Grasping using Deep Point Cloud Prediction Networks
Xinchen Yan, Mohi Khansari, Jasmine Hsu +4
Training a deep network policy for robot manipulation is notoriously costly and time consuming as it depends on collecting a significant amount of real world data. To work well in…
Online Object Representations with Contrastive Learning
Sören Pirk, Mohi Khansari, Yunfei Bai +2
We propose a self-supervised approach for learning representations of objects from monocular videos and demonstrate it is particularly useful in situated settings such as robotics.…