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Towards Bio-inspired Robotic Trajectory Planning via Self-supervised RNN
Trajectory planning in robotics is understood as generating a sequence of joint configurations that will lead a robotic agent, or its …
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Pointing-Guided Target Estimation via Transformer-Based Attention
Deictic gestures, like pointing, are a fundamental form of non-verbal communication, enabling humans to direct attention to specific …
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Practical solutions to the relative pose of three calibrated cameras
We study the challenging problem of estimating the relative pose of three calibrated cameras from four point correspondences. We …
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Three-view Focal Length Recovery From Homographies
In this paper, we propose a novel approach for recovering focal lengths from three-view homographies. By examining the consistency of …
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LLM-based Interactive Imitation Learning for Robotic Manipulation
Recent advancements in machine learning provide methods to train autonomous agents capable of handling the increasing complexity of …
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Comparing Apples to Oranges: LLM-Powered Multimodal Intention Prediction in an Object Categorization Task
Human intention-based systems enable robots to perceive and interpret user actions to interact with humans and adapt to their behavior …
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Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?
Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common …
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Open-Vocabulary Robotic Object Manipulation using Foundation Models
Classical vision-language-action models are limited by unidirectional communication, hindering natural human-robot interaction. The …
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Learning Low-Level Causal Relations Using a Simulated Robotic Arm
Causal learning allows humans to predict the effect of their actions on the known environment and use this knowledge to plan the …
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Diffusing in Someone Else’s Shoes: Robotic Perspective-Taking with Diffusion
Humanoid robots can benefit from their similarity to the human shape by learning from humans. When humans teach other humans how to …
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