Margot M E Neggers,Raymond H Cuijpers,Peter A M Ruijten et al.
Margot M E Neggers et al.
Robots navigate ever more often in close proximity to people. In the current work, we focused on two distinctive navigational scenarios: passing and overtaking a person who is walking. In the first experiment, we compared nine different pas...
A Voloshkin,A Tereshchenko,G Carbone et al.
A Voloshkin et al.
The article discusses the design of a suspended lever mechanism with elastic elements, which is used as a safety device in a robotic system for the rehabilitation of the lower limbs. The article analyzes the existing mechanical structures o...
Control of a Wheelchair-Mounted 6DOF Assistive Robot With Chin and Finger Joysticks [0.03%]
带有下巴和手指操纵杆的轮椅安装6自由度辅助机器人控制
Ivan Rulik,Md Samiul Haque Sunny,Javier Dario Sanjuan De Caro et al.
Ivan Rulik et al.
Throughout the last decade, many assistive robots for people with disabilities have been developed; however, researchers have not fully utilized these robotic technologies to entirely create independent living conditions for people with dis...
"No Chit Chat!" A Warning From a Physical Versus Virtual Robot Invigilator: Which Matters Most? [0.03%]
“禁止闲谈！”来自物理和虚拟机器人监考官的警告，哪个更管用？
Muneeb I Ahmad,Reem Refik
Muneeb I Ahmad
Past work has not considered social robots as proctors or monitors to prevent cheating or maintain discipline in the context of exam invigilation with adults. Further, we do not see an investigation into the role of invigilation for the rob...
Learning State-Variable Relationships in POMCP: A Framework for Mobile Robots [0.03%]
基于POMCP的状态变量关系学习：移动机器人的框架
Maddalena Zuccotto,Marco Piccinelli,Alberto Castellini et al.
Maddalena Zuccotto et al.
We address the problem of learning relationships on state variables in Partially Observable Markov Decision Processes (POMDPs) to improve planning performance. Specifically, we focus on Partially Observable Monte Carlo Planning (POMCP) and ...
A Modular Vision Language Navigation and Manipulation Framework for Long Horizon Compositional Tasks in Indoor Environment [0.03%]
一种模块化视觉语言导航和操作框架，用于室内环境中长周期组合任务
Homagni Saha,Fateme Fotouhi,Qisai Liu et al.
Homagni Saha et al.
In this paper we propose a new framework-MoViLan (Modular Vision and Language) for execution of visually grounded natural language instructions for day to day indoor household tasks. While several data-driven, end-to-end learning frameworks...
Dominic M Sivitilli,Joshua R Smith,David H Gire
Dominic M Sivitilli
Biological and artificial agents are faced with many of the same computational and mechanical problems, thus strategies evolved in the biological realm can serve as inspiration for robotic development. The octopus in particular represents a...
Responsible robotics design-A systems approach to developing design guides for robotics in pasture-grazed dairy farming [0.03%]
负责任的机器人设计-开发牧场放牧乳品业中机器人的系统设计指南的方法论研究
C R Eastwood,B Dela Rue,J P Edwards et al.
C R Eastwood et al.
Application of robotics and automation in pasture-grazed agriculture is in an emergent phase. Technology developers face significant challenges due to aspects such as the complex and dynamic nature of biological systems, relative cost of te...
Francesco Ruscelli,Arturo Laurenzi,Nikos G Tsagarakis et al.
Francesco Ruscelli et al.
This paper presents Horizon, an open-source framework for trajectory optimization tailored to robotic systems that implements a set of tools to simplify the process of dynamic motion generation. Its user-friendly Python-based API allows des...
Bridging Reinforcement Learning and Iterative Learning Control: Autonomous Motion Learning for Unknown, Nonlinear Dynamics [0.03%]
连接强化学习和迭代学习控制：未知非线性动力学的自主运动学习
Michael Meindl,Dustin Lehmann,Thomas Seel
Michael Meindl
This work addresses the problem of reference tracking in autonomously learning robots with unknown, nonlinear dynamics. Existing solutions require model information or extensive parameter tuning, and have rarely been validated in real-world...