1

Robotic Calibration Based on Haptic Feedback Improves Sim-to-Real Transfer
When inverse kinematics (IK) is adopted to control robotic arms in manipulation tasks, there is often a discrepancy between the end …
Cite DOI arXiv
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 …
Cite DOI arXiv
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 …
Cite DOI code
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 …
Cite DOI
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 …
Cite DOI
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 …
Cite DOI code
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 …
Cite DOI
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 …
Cite DOI
Open-Vocabulary Robotic Object Manipulation using Foundation Models
Classical vision-language-action models are limited by unidirectional communication, hindering natural human-robot interaction. The …
PDF Cite DOI
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 …
Cite DOI