38 citations · 72 across the 10 of their papers we have counts for
6 papers · 1 filter
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…
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…
On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation
Rui Pimentel de Figueiredo, Jakob Grimm Hansen, Jonas Le Fevre +2
In this work we showcase the design and assessment of the performance of a multi-camera UAV, when coupled with state-of-the-art planning and mapping algorithms for autonomous navig…
SGD for robot motion? The effectiveness of stochastic optimization on a new benchmark for biped locomotion tasks
Martim Brandao, Kenji Hashimoto, Atsuo Takanishi
Trajectory optimization and posture generation are hard problems in robot locomotion, which can be non-convex and have multiple local optima. Progress on these problems is further…
Material Recognition CNNs and Hierarchical Planning for Biped Robot Locomotion on Slippery Terrain
Martim Brandao, Yukitoshi Minami Shiguematsu, Kenji Hashimoto +1
In this paper we tackle the problem of visually predicting surface friction for environments with diverse surfaces, and integrating this knowledge into biped robot locomotion plann…