Excavation plans are crucial in construction projects, dictating the dir...
Loco-manipulation planning skills are pivotal for expanding the utility ...
The interest in exploring planetary bodies for scientific investigation ...
This paper presents RAYEN, a framework to impose hard convex constraints...
Performing agile navigation with four-legged robots is a challenging tas...
Robotic exploration or monitoring missions require mobile robots to
auto...
Natural environments such as forests and grasslands are challenging for
...
Mobile ground robots require perceiving and understanding their surround...
Quadrupedal robots are conquering various indoor and outdoor application...
Adaptive falling and recovery skills greatly extend the applicability of...
Due to the highly complex environment present during the DARPA Subterran...
We present ORBIT, a unified and modular framework for robot learning pow...
Parallel-elastic joints can improve the efficiency and strength of robot...
Modern robotic systems are required to operate in challenging environmen...
An increasing amount of applications rely on data-driven models that are...
Mobile manipulation in robotics is challenging due to the need of solvin...
Detecting objects of interest, such as human survivors, safety equipment...
The exploration of large-scale unknown environments can benefit from the...
The process of robot design is a complex task and the majority of design...
The common approach for local navigation on challenging environments wit...
Dynamic locomotion in rough terrain requires accurate foot placement,
co...
This paper reports on the state of the art in underground SLAM by discus...
Navigating off-road with a fast autonomous vehicle depends on a robust
p...
To safely deploy legged robots in the real world it is necessary to prov...
Model Predictive Control (MPC) schemes have proven their efficiency in
c...
A robotic platform for mobile manipulation needs to satisfy two contradi...
Terrain geometry is, in general, non-smooth, non-linear, non-convex, and...
We propose a learning-based method to reconstruct the local terrain for
...
This work contributes a marsupial robotic system-of-systems involving a
...
Perceiving the surrounding environment is crucial for autonomous mobile
...
Despite the progress in legged robotic locomotion, autonomous navigation...
In recent years, reinforcement learning (RL) has shown outstanding
perfo...
The ability to generate dynamic walking in real-time for bipedal robots ...
LiDAR-based localization and mapping is one of the core components in ma...
This paper introduces a novel approach for whole-body motion planning an...
Enabling autonomous operation of large-scale construction machines, such...
In this paper, we deal with the problem of creating globally consistent ...
In this paper, we present a real-time whole-body planner for collision-f...
Legged robots that can operate autonomously in remote and hazardous
envi...
Deep reinforcement learning produces robust locomotion policies for legg...
Modern robotic systems are endowed with superior mobility and mechanical...
Measurement update rules for Bayes filters often contain hand-crafted
he...
In this work, we present and study a training set-up that achieves fast
...
Accurate and complete terrain maps enhance the awareness of autonomous r...
When dealing with the haptic teleoperation of multi-limbed mobile
manipu...
In this article, we show that learned policies can be applied to solve l...
The demand and the potential for automation in the construction sector i...
Modern, torque-controlled service robots can regulate contact forces whe...
Celestial bodies such as the Moon and Mars are mainly covered by loose,
...
Manipulators can be added to legged robots, allowing them to interact wi...