V
主页
京东 11.11 红包
Navigation Robot for the Visually Impaired by Chieko Asakawa @ IROS2022
发布人
Navigation Robot for the Visually Impaired by Chieko Asakawa @ IROS2022 Oct. 25, 2022 Abstract: Blind people face many difficulties when they navigate and explore unfamiliar places alone. In general, sighted people use visual information to find a destination and to avoid collisions. Blind people, however, must rely on non-visual information, such as haptic information from a white cane or ambient sounds. Recent technologies, such as AI and robotics, have great possibilities to offer new solutions to interpret visual information to a non-visual medium, and guide blind people in a safe, socially compliant way in public spaces. In this talk, I will address our recent work concerning a suitcase-shaped navigation robot for the blind. It is equipped with motors and several sensors for autonomous navigation. On the top of the suitcase, it has LiDAR for localization and obstacle detection, and an RGB-D camera for detecting pedestrians to avoid collisions. The handle has buttons to control its movement, and vibrotactile devices to provide non-visual information. I will share recent experimental results in real-world environments, such as an airport, and a shopping mall. I will also talk about new challenges for the blind in the recent pandemic situation, and introduce possible solutions. Finally, I will discuss how we can accelerate the implementation of new technologies into our society. Bio: Chieko Asakawa is an IBM Fellow, working in the area of accessibility. Her initial contribution to the field started from braille digitalization and moved onto the Web accessibility, including the world’s first practical voice browser. Today, Chieko is focusing on real world accessibility to help the visually impaired understand their surroundings and navigate the world by the power of AI...
打开封面
下载高清视频
观看高清视频
视频下载器
Data-driven MPC: From Linear to Nonlinear Systems with Guarantees by F. Allgöwer
Leveraging Learning & Opt.-based Planning for Multi-Robot Systems by P. Tokekar
Learning Dynamics from Bilinear Observations by Sarah Dean
Equivalence Between Contraction & Koopman Approaches, and Its Application in...
Fast and Flexible Multi-Agent Decision-Making by Naomi Leonard @ CDC 2023
The Robotics Part of Micro and Nano Robots by Brad Nelson @ IROS2022
Aligning Robot and Human Representations by Andreea Bobu
Data-driven Input-to-state Stabilization by Andrea Bisoffi
Towards Safe & Resilient Autonomy using Synergistic Control, Observation and ...
Learning-based Koopman Modeling for Efficient State Estimation and Control ...
Hierarchical Optimization-Based Control for Agile and Adaptive Legged Robots
Competence-aware Planning and Control by Hamidreza Modares
Systems Theory for Partial Differential-algebraic Equations by Kirsten Morris
Frontiers of Autonomous Space Systems by Giusy Falcone
Coordination of Heterogeneous Multi-agent Systems via Blended Dynamics Theorem
Physics-Guided Data-Driven Modeling for Control in Additive Manufacturing
Bridging the Gap: Using Real World Problems to Unveil Deep Control Principles
Theoretical Foundation of Learning-based Planning for LTL Objectives
Low Gain Feedback for Linear Systems: Input Saturation and Input Delay by Z. Lin
Leveraging Data and the Koopman Operator to Make Soft Robots More Capable
Real-time Distributed Decision Making in Networked Systems by Na Li
Formal Learning and Control of Large-Scale Cyber-Physical Systems via ISS ...
Data-Driven Engineering and Process Control Education with Portable Labs
Machine Learning for Sparse Nonlinear Modeling & Control by S. Brunton @ACC2023
Machine Learning: Bane Or Boon For Control? by Miroslav Krstic @CDC2023
IFAC Industry Connect: Automation & Control: An Integral Part of Process...
Is Resilience a Quality or a Quantity? by Erik Hollnagel @IFAC2023
Towards Trustworthy Data-driven Control by Sandra Hirche @ IFAC 2023
120 Years of Lyapunov's Methods by Stephen Boyd
Formal Methods for Safety-Critical Control by Calin Belta
Flight Testing Active Flutter Control Technology on a Conventional Configuration
Grid Integration of Distributed Energy Resources by Bai Cui
IFAC Industry Connect: Making the Leap from Academia to Entrepreneurship
Resilience& Distributed Decision-making in a Renewable-rich Power Grid @IFAC2023
Haptics and Physical Human-Robot Interaction by K. J. Kuchenbecker @ CDC2021
Probabilistic Methods in Cancer Biology by Mathukumalli Vidyasagar
Some Fundamental Limitations of Learning for Dynamics and Control by N Özay
Livestream of the 3rd L4DC Conference (Day 1)
Enabling Automatic Building Envelope Retrofits Using Controls & Machine Learning
Progress in Symmetry Preserving Robot Control by Maani Ghaffari