activity
20172022
most citedResilient and consistent multirobot cooperative localization with covariance intersection

59 citations · 179 across the 18 of their papers we have counts for

collaborators

19 papers

cs.RO2022★ 1 cited

REMS: Middleware for Robotics Education and Development

Yusuke Tanaka, Ankur Mehta

This paper introduces REMS, a robotics middleware and control framework that is designed to introduce the Zen of Python to robotics and to improve robotics education and developmen…

cs.RO2022★ 5 cited

A crawling robot driven by a folded self-sustained oscillator

Wenzhong Yan, Ankur Mehta

Locomotive robots that do not rely on electronics and/or electromagnetic components will open up new perspectives and applications for robotics. However, these robots usually invol…

eess.SY2021

User Based Design and Evaluation Pipeline for Indoor Airships

Zhaoliang Zheng, Jiahao Li, Parth Agrawal +3

Designing a controllable airship for non-expert users or preemptively evaluating the performance of desired airships has always been a very challenging problem. This paper explores…

cs.RO2021

Joint State and Input Estimation of Agent Based on Recursive Kalman Filter Given Prior Knowledge

Zida Wu, Zhaoliang Zheng, Ankur Mehta

Modern autonomous systems are purposed for many challenging scenarios, where agents will face unexpected events and complicated tasks. The presence of disturbance noise with contro…

cs.RO2021★ 5 cited

Direct LiDAR Odometry: Fast Localization with Dense Point Clouds

Kenny Chen, Brett T. Lopez, Ali-akbar Agha-mohammadi +1

Field robotics in perceptually-challenging environments require fast and accurate state estimation, but modern LiDAR sensors quickly overwhelm current odometry algorithms. To this…

cs.RO2021★ 59 cited

Resilient and consistent multirobot cooperative localization with covariance intersection

Tsang-Kai Chang, Kenny Chen, Ankur Mehta

Cooperative localization is fundamental to autonomous multirobot systems, but most algorithms couple inter-robot communication with observation, making these algorithms susceptible…

cs.RO2021★ 10 cited

A cut-and-fold self-sustained compliant oscillator for autonomous actuation of origami-inspired robots

Wenzhong Yan, Ankur Mehta

Origami-inspired robots are of particular interest given their potential for rapid and accessible design and fabrication of elegant designs and complex functionalities through cutt…

cs.GR2021★ 7 cited

Fabrication-aware Design for Furniture with Planar Pieces

Wenzhong Yan, Dawei Zhao, Ankur Mehta

We propose a computational design tool to enable casual end-users to easily design, fabricate, and assemble flat-pack furniture with guaranteed manufacturability. Using our system,…

cs.RO2021★ 1 cited

LTO: Lazy Trajectory Optimization with Graph-Search Planning for High DOF Robots in Cluttered Environments

Yuki Shirai, Xuan Lin, Ankur Mehta +1

Although Trajectory Optimization (TO) is one of the most powerful motion planning tools, it suffers from expensive computational complexity as a time horizon increases in cluttered…

cs.GR2021

A Computational Design and Evaluation Tool for 3D Structures with Planar Surfaces

Chang Liu, Wenzhong Yan, Pehuen Moure +2

Three dimensional (3D) structures composed of planar surfaces can be build out of accessible materials using easier fabrication technique with shorter fabrication time. To better d…

cs.RO2020★ 1 cited

Computational Design and Fabrication of Corrugated Mechanisms from Behavioral Specifications

Chang Liu, Wenzhong Yan, Ankur Mehta

Orthogonally assembled double-layered corrugated (OADLC) mechanisms are a class of foldable structures that harness origami-inspired methods to enhance the structural stiffness of…

cs.RO2020★ 7 cited

Towards One-Dollar Robots: An Integrated Design and Fabrication Strategy for Electromechanical Systems

Wenzhong Yan, Ankur Mehta

To improve the accessibility of robotics, we propose a design and fabrication strategy to build low-cost electromechanical systems for robotic devices. Our method, based on origami…

cs.CV2020

Unsupervised Monocular Depth Learning with Integrated Intrinsics and Spatio-Temporal Constraints

Kenny Chen, Alexandra Pogue, Brett T. Lopez +2

Monocular depth inference has gained tremendous attention from researchers in recent years and remains as a promising replacement for expensive time-of-flight sensors, but issues w…

cs.RO2020★ 1 cited

Risk-Averse MPC via Visual-Inertial Input and Recurrent Networks for Online Collision Avoidance

Alexander Schperberg, Kenny Chen, Stephanie Tsuei +5

In this paper, we propose an online path planning architecture that extends the model predictive control (MPC) formulation to consider future location uncertainties for safer navig…

cs.RO2020★ 29 cited

Risk-Aware Motion Planning for a Limbed Robot with Stochastic Gripping Forces Using Nonlinear Programming

Yuki Shirai, Xuan Lin, Yusuke Tanaka +2

We present a motion planning algorithm with probabilistic guarantees for limbed robots with stochastic gripping forces. Planners based on deterministic models with a worst-case unc…

cs.RO2019

Toward Synergic Learning for Autonomous Manipulation of Deformable Tissues via Surgical Robots: An Approximate Q-Learning Approach

Sahba Aghajani Pedram, Peter Walker Ferguson, Changyeob Shin +4

In this paper, we present a synergic learning algorithm to address the task of indirect manipulation of an unknown deformable tissue. Tissue manipulation is a common yet challengin…

physics.app-ph2019★ 52 cited

Analytical Modeling for Rapid Design of Bistable Buckled Beams

Wenzhong Yan, Yunchen Yu, Ankur Mehta

Double-clamped bistable buckled beams, as the most elegant bistable mechanisms, demonstrate great versatility in various fields, such as robotics, energy harvesting, and MEMS. Howe…

cs.RO2018★ 1 cited

Localization Algorithm with Circular Representation in 2D and its Similarity to Mammalian Brains

Tsang-Kai Chang, Shengkang Chen, Ankur Mehta

Extended Kalman filter (EKF) does not guarantee consistent mean and covariance under linearization, even though it is the main framework for robotic localization. While Lie group i…

eess.SY2017

Event-Triggered Diffusion Kalman Filters

Amr Alanwar, Hazem Said, Ankur Mehta +1

Distributed state estimation strongly depends on collaborative signal processing, which often requires excessive communication and computation to be executed on resource-constraine…