4 citations · 8 across the 8 of their papers we have counts for
10 papers
Efficient Hierarchical Any-Angle Path Planning on Multi-Resolution 3D Grids
Victor Reijgwart, Cesar Cadena, Roland Siegwart +1
Hierarchical, multi-resolution volumetric mapping approaches are widely used to represent large and complex environments as they can efficiently capture their occupancy and connect…
Towards Fast and Scalable Normal Integration using Continuous Components
Francesco Milano, Jen Jen Chung, Lionel Ott +1
Surface normal integration is a fundamental problem in computer vision, dealing with the objective of reconstructing a surface from its corresponding normal map. Existing approache…
CueLearner: Bootstrapping and local policy adaptation from relative feedback
Giulio Schiavi, Andrei Cramariuc, Lionel Ott +1
Human guidance has emerged as a powerful tool for enhancing reinforcement learning (RL). However, conventional forms of guidance such as demonstrations or binary scalar feedback ca…
Learning Affordances from Interactive Exploration using an Object-level Map
Paula Wulkop, Halil Umut Özdemir, Antonia Hüfner +3
Many robotic tasks in real-world environments require physical interactions with an object such as pick up or push. For successful interactions, the robot needs to know the object'…
NeuSurfEmb: A Complete Pipeline for Dense Correspondence-based 6D Object Pose Estimation without CAD Models
Francesco Milano, Jen Jen Chung, Hermann Blum +2
State-of-the-art approaches for 6D object pose estimation assume the availability of CAD models and require the user to manually set up physically-based rendering (PBR) pipelines f…
Task Adaptation in Industrial Human-Robot Interaction: Leveraging Riemannian Motion Policies
Mike Allenspach, Michael Pantic, Rik Girod +2
In real-world industrial environments, modern robots often rely on human operators for crucial decision-making and mission synthesis from individual tasks. Effective and safe colla…
Waverider: Leveraging Hierarchical, Multi-Resolution Maps for Efficient and Reactive Obstacle Avoidance
Victor Reijgwart, Michael Pantic, Roland Siegwart +1
Fast and reliable obstacle avoidance is an important task for mobile robots. In this work, we propose an efficient reactive system that provides high-quality obstacle avoidance whi…
Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation
Francesco Di Felice, Alberto Remus, Stefano Gasperini +5
Estimating the pose of objects through vision is essential to make robotic platforms interact with the environment. Yet, it presents many challenges, often related to the lack of f…
To Fuse or Not to Fuse: Measuring Consistency in Multi-Sensor Fusion for Aerial Robots
Christian Lanegger, Helen Oleynikova, Michael Pantic +2
Aerial vehicles are no longer limited to flying in open space: recent work has focused on aerial manipulation and up-close inspection. Such applications place stringent requirement…
Soliro -- a hybrid dynamic tilt-wing aerial manipulator with minimal actuators
Michael Pantic, Elias Hampp, Ramon Flammer +4
The ability to enter in contact with and manipulate physical objects with a flying robot enables many novel applications, such as contact inspection, painting, drilling, and sample…