Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Taylor, Camillo Jose"'
Publikováno v:
IEEE Transactions on Field Robotics (2024)
Mapping and navigation have gone hand-in-hand since long before robots existed. Maps are a key form of communication, allowing someone who has never been somewhere to nonetheless navigate that area successfully. In the context of multi-robot systems,
Externí odkaz:
http://arxiv.org/abs/2407.09902
Control tuning and adaptation present a significant challenge to the usage of robots in diverse environments. It is often nontrivial to find a single set of control parameters by hand that work well across the broad array of environments and conditio
Externí odkaz:
http://arxiv.org/abs/2406.17620
This work presents an instance-agnostic learning framework that fuses vision with dynamics to simultaneously learn shape, pose trajectories, and physical properties via the use of geometry as a shared representation. Unlike many contact learning appr
Externí odkaz:
http://arxiv.org/abs/2309.05832
In this work, we present an end-to-end heterogeneous multi-robot system framework where ground robots are able to localize, plan, and navigate in a semantic map created in real time by a high-altitude quadrotor. The ground robots choose and deconflic
Externí odkaz:
http://arxiv.org/abs/2206.14289
Autor:
Miller, Ian D., Cowley, Anthony, Konkimalla, Ravi, Shivakumar, Shreyas S., Nguyen, Ty, Smith, Trey, Taylor, Camillo Jose, Kumar, Vijay
Publikováno v:
in IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 2397-2404, April 2021
Currently, GPS is by far the most popular global localization method. However, it is not always reliable or accurate in all environments. SLAM methods enable local state estimation but provide no means of registering the local map to a global one, wh
Externí odkaz:
http://arxiv.org/abs/2203.08925
Autor:
Sanghvi, Hersh, Taylor, Camillo Jose
One of the fundamental challenges in realizing the potential of legged robots is generating plans to traverse challenging terrains. Control actions must be carefully selected so the robot will not crash or slip. The high dimensionality of the joint s
Externí odkaz:
http://arxiv.org/abs/2112.07080
We present an empirical investigation of a new mapping system based on a graph of panoramic depth images. Panoramic images efficiently capture range measurements taken by a spinning lidar sensor, recording fine detail on the order of a few centimeter
Externí odkaz:
http://arxiv.org/abs/2101.00585
Autor:
Miller, Ian D., Cladera, Fernando, Cowley, Anthony, Shivakumar, Shreyas S., Lee, Elijah S., Jarin-Lipschitz, Laura, Bhat, Akhilesh, Rodrigues, Neil, Zhou, Alex, Cohen, Avraham, Kulkarni, Adarsh, Laney, James, Taylor, Camillo Jose, Kumar, Vijay
Robotic exploration of underground environments is a particularly challenging problem due to communication, endurance, and traversability constraints which necessitate high degrees of autonomy and agility. These challenges are further exacerbated by
Externí odkaz:
http://arxiv.org/abs/1909.09662
Autor:
Mohta, Kartik, Sun, Ke, Liu, Sikang, Watterson, Michael, Pfrommer, Bernd, Svacha, James, Mulgaonkar, Yash, Taylor, Camillo Jose, Kumar, Vijay
High speed navigation through unknown environments is a challenging problem in robotics. It requires fast computation and tight integration of all the subsystems on the robot such that the latency in the perception-action loop is as small as possible
Externí odkaz:
http://arxiv.org/abs/1806.07053
Autor:
Mohta, Kartik, Watterson, Michael, Mulgaonkar, Yash, Liu, Sikang, Qu, Chao, Makineni, Anurag, Saulnier, Kelsey, Sun, Ke, Zhu, Alex, Delmerico, Jeffrey, Karydis, Konstantinos, Atanasov, Nikolay, Loianno, Giuseppe, Scaramuzza, Davide, Daniilidis, Kostas, Taylor, Camillo Jose, Kumar, Vijay
One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little to no a-priori knowledge of the operating environment. This challenge
Externí odkaz:
http://arxiv.org/abs/1712.02052