38 citations · 72 across the 10 of their papers we have counts for
11 papers
LLM-Driven Autonomous Vehicles Can Inherit Human Driver Biases in Pedestrian Yielding: Results and Implications From a New Benchmark
Irem Yoldas, Martim Brandão, Jie Zhang +1
Public trust in Autonomous Vehicles (AVs) may depend not only on technical success but also on the fairness of their decision making. While a recent trend in AV research involves u…
Evaluating VLMs' Spatial Reasoning Over Robot Motion: A Step Towards Robot Planning with Motion Preferences
Wenxi Wu, Jingjing Zhang, Martim Brandão
Understanding user instructions and object spatial relations in surrounding environments is crucial for intelligent robot systems to assist humans in various tasks. The natural lan…
ChatbotManip: A Dataset to Facilitate Evaluation and Oversight of Manipulative Chatbot Behaviour
Jack Contro, Simrat Deol, Yulan He +1
This paper introduces ChatbotManip, a novel dataset for studying manipulation in Chatbots. It contains simulated generated conversations between a chatbot and a (simulated) user, w…
Seeing Soundscapes: Audio-Visual Generation and Separation from Soundscapes Using Audio-Visual Separator
Minjae Kang, Martim Brandão
Recent audio-visual generative models have made substantial progress in generating images from audio. However, existing approaches focus on generating images from single-class audi…
LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions
Andrew Hundt, Rumaisa Azeem, Masoumeh Mansouri +1
Members of the Human-Robot Interaction (HRI) and Machine Learning (ML) communities have proposed Large Language Models (LLMs) as a promising resource for robotics tasks such as nat…
Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach
Rui Pimentel de Figueiredo, Jonas le Fevre Sejersen, Jakob Grimm Hansen +2
In this work we propose a holistic framework for autonomous aerial inspection tasks, using semantically-aware, yet, computationally efficient planning and mapping algorithms. The s…