4 citations · 18 across the 24 of their papers we have counts for
27 papers
Solving a Giant Rubik's Cube with a Quadruped Robot
Lukas Amiet, Gabriel Sánchez-Blanco Repgen, Mayank Mittal +4
Pedipulating a freestanding articulated object requires controlling its pose and internal configuration while maintaining balance. We demonstrate this capability by autonomously so…
Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids
Efe Ongan, Chong Zhang, Boyang Sun +3
Traversing sparse 3D structures requires humanoid robots to perceive thin, overhanging geometry while executing agile, accurate whole-body motions. We study this problem through mo…
Tripody: An Overconstrained 3-SPR-like Parallel Robot for High-Reach Construction Tasks
Julien Kindle, Jakub Raczy, Riccardo Balbi +3
Many ceiling construction tasks still rely on heavy serial manipulators that are difficult to deploy in cluttered interiors, motivating lightweight, field-ready alternatives that r…
Robots Need More than VLA and World Models
Elis Karcini, Faisal Mehrban, Quang Nguyen +6
Generalist robot intelligence is often framed as a policy-scaling problem: collect more robot demonstrations, train larger Vision-Language-Action (VLA) models, and expect broader g…
An Efficient Beam Search Algorithm for Active Perception in Mobile Robotics
Kaixian Qu, Han Wang, Victor Klemm +2
Active perception is a fundamental problem in autonomous robotics in which the robot must decide where to move and what to sense in order to obtain the most informative observation…
Learning Multi-Agent Local Collision-Avoidance for Collaborative Carrying tasks with Coupled Quadrupedal Robots
Francesca Bray, Simone Tolomei, Andrei Cramariuc +2
Robotic collaborative carrying could greatly benefit human activities like warehouse and construction site management. However, coordinating the simultaneous motion of multiple rob…
Path-conditioned Reinforcement Learning-based Local Planning for Long-Range Navigation
Mateo Haro, Julia Richter, Fan Yang +2
Long-range navigation is commonly addressed through hierarchical pipelines in which a global planner generates a path, decomposed into waypoints, and followed sequentially by a loc…
GrandTour: A Legged Robotics Dataset in the Wild for Multi-Modal Perception and State Estimation
Turcan Tuna, Jonas Frey, Frank Fu +5
Accurate state estimation and multi-modal perception are prerequisites for autonomous legged robots in complex, large-scale environments. To date, no large-scale public legged-robo…
Large-Scale Autonomous Gas Monitoring for Volcanic Environments: A Legged Robot on Mount Etna
Julia Richter, Turcan Tuna, Manthan Patel +6
Volcanic gas emissions are key precursors of eruptive activity. Yet, obtaining accurate near-surface measurements remains hazardous and logistically challenging, motivating the nee…
DeFM: Learning Foundation Representations from Depth for Robotics
Manthan Patel, Jonas Frey, Mayank Mittal +5
Depth sensors are widely deployed across robotic platforms, and advances in fast, high-fidelity depth simulation have enabled robotic policies trained on depth observations to achi…
SAHA: Supervised Autonomous HArvester for selective forest thinning
Fang Nan, Meher Malladi, Qingqing Li +7
Forestry plays a vital role in our society, creating significant ecological, economic, and recreational value. Efficient forest management involves labor-intensive and complex oper…
CaRLi-V: Camera-RADAR-LiDAR Point-Wise 3D Velocity Estimation
Landson Guo, Andres M. Diaz Aguilar, William Talbot +3
Accurate point-wise velocity estimation in 3D is crucial for robot interaction with non-rigid dynamic agents, enabling robust performance in path planning, collision avoidance, and…
NaviTrace: Evaluating Embodied Navigation of Vision-Language Models
Tim Windecker, Manthan Patel, Moritz Reuss +5
Vision-language models demonstrate unprecedented performance and generalization across a wide range of tasks and scenarios. Integrating these foundation models into robotic navigat…
Spatially-Enhanced Recurrent Memory for Long-Range Mapless Navigation via End-to-End Reinforcement Learning
Fan Yang, Per Frivik, David Hoeller +3
Recent advancements in robot navigation, particularly with end-to-end learning approaches such as reinforcement learning (RL), have demonstrated strong performance. However, succes…
TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation
Manthan Patel, Fan Yang, Yuheng Qiu +4
We present TartanGround, a large-scale, multi-modal dataset to advance the perception and autonomy of ground robots operating in diverse environments. This dataset, collected in va…
Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation
Pascal Roth, Jonas Frey, Cesar Cadena +1
Ensuring safe navigation in complex environments requires accurate real-time traversability assessment and understanding of environmental interactions relative to the robot`s capab…
Boxi: Design Decisions in the Context of Algorithmic Performance for Robotics
Jonas Frey, Turcan Tuna, Lanke Frank Tarimo Fu +8
Achieving robust autonomy in mobile robots operating in complex and unstructured environments requires a multimodal sensor suite capable of capturing diverse and complementary info…
Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation with Factor Graphs
Julian Nubert, Turcan Tuna, Jonas Frey +4
Seamless operation of mobile robots in challenging environments requires low-latency local motion estimation and accurate global localization. While most sensor-fusion approaches a…
ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images
Yanqing Shen, Turcan Tuna, Marco Hutter +2
Place recognition is essential to maintain global consistency in large-scale localization systems. While research in urban environments has progressed significantly using LiDARs or…
Enhancing Robotic Precision in Construction: A Modular Factor Graph-Based Framework to Deflection and Backlash Compensation Using High-Accuracy Accelerometers
Julien Kindle, Michael Loetscher, Andrea Alessandretti +2
Accurate positioning is crucial in the construction industry, where labor shortages highlight the need for automation. Robotic systems with long kinematic chains are required to re…
Continuous-Time State Estimation Methods in Robotics: A Survey
William Talbot, Julian Nubert, Turcan Tuna +5
Accurate, efficient, and robust state estimation is more important than ever in robotics as the variety of platforms and complexity of tasks continue to grow. Historically, discret…
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models
Mike Zhang, Kaixian Qu, Vaishakh Patil +2
Large Language Models (LLM) have emerged as a tool for robots to generate task plans using common sense reasoning. For the LLM to generate actionable plans, scene context must be p…
MultiViPerFrOG: A Globally Optimized Multi-Viewpoint Perception Framework for Camera Motion and Tissue Deformation
Guido Caccianiga, Julian Nubert, Cesar Cadena +2
Reconstructing the 3D shape of a deformable environment from the information captured by a moving depth camera is highly relevant to surgery. The underlying challenge is the fact t…
Informed, Constrained, Aligned: A Field Analysis on Degeneracy-aware Point Cloud Registration in the Wild
Turcan Tuna, Julian Nubert, Patrick Pfreundschuh +3
The ICP registration algorithm has been a preferred method for LiDAR-based robot localization for nearly a decade. However, even in modern SLAM solutions, ICP can degrade and becom…