Fast Online Optimization for Terrain-Blind Bipedal Robot Walking With a Decoupled Actuated SLIP Model [0.03%]
基于解耦驱动SLIP模型的地形感知双足机器人行走的快速在线优化方法
Ke Wang,Hengyi Fei,Petar Kormushev
Ke Wang
We present an online optimization algorithm which enables bipedal robots to blindly walk over various kinds of uneven terrains while resisting pushes. The proposed optimization algorithm performs high-level motion planning of footstep locat...
Yosuke Fukuchi,Masahiko Osawa,Hiroshi Yamakawa et al.
Yosuke Fukuchi et al.
Humans sometimes attempt to infer an artificial agent's mental state based on mere observations of its behavior. From the agent's perspective, it is important to choose actions with awareness of how its behavior will be considered by humans...
Aya Hussein,Leo Ghignone,Tung Nguyen et al.
Aya Hussein et al.
Swarm systems consist of large numbers of agents that collaborate autonomously. With an appropriate level of human control, swarm systems could be applied in a variety of contexts ranging from urban search and rescue situations to cyber def...
Serious Games Strategies With Cable-Driven Robots for Bimanual Rehabilitation: A Randomized Controlled Trial With Post-Stroke Patients [0.03%]
一种用于卒中后患者双侧上肢康复的缆控机器人系统：随机对照试验研究
Thiago Alves,Rogério Sales Gonçalves,Giuseppe Carbone
Thiago Alves
Cable-driven robots can be an ideal fit for performing post-stroke rehabilitation due to their specific features. For example, they have small and lightweight moving parts and a relatively large workspace. They also allow safe human-robot i...
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution [0.03%]
求同存异：隐私受限的去中心化冲突解决中的主观公平性
Alex Raymond,Matthew Malencia,Guilherme Paulino-Passos et al.
Alex Raymond et al.
Fairness is commonly seen as a property of the global outcome of a system and assumes centralisation and complete knowledge. However, in real decentralised applications, agents only have partial observation capabilities. Under limited infor...
Introducing a Smart City Component in a Robotic Competition: A Field Report [0.03%]
机器人竞赛中引入智能城市组件：实地报告
Gianluca Bardaro,Enrico Daga,Jason Carvalho et al.
Gianluca Bardaro et al.
In recent years, two fields have become more prominent in our everyday life: smart cities and service robots. In a smart city, information is collected from distributed sensors around the city into centralised data hubs and used to improve ...
An Augmented Multiple Imputation Particle Filter for River State Estimation With Missing Observation [0.03%]
一种基于数据增补的多假设粒子滤波器在河流系统中的应用研究
Z H Ismail,N A Jalaludin
Z H Ismail
In this article, a new form of data assimilation (DA) method namely multiple imputation particle filter with smooth variable structure filter (MIPF-SVSF) is proposed for river state estimation. This method is introduced to perform estimatio...
Astrid Merckling,Nicolas Perrin-Gilbert,Alex Coninx et al.
Astrid Merckling et al.
Not having access to compact and meaningful representations is known to significantly increase the complexity of reinforcement learning (RL). For this reason, it can be useful to perform state representation learning (SRL) before tackling R...
A Method for Measuring Contact Points in Human-Object Interaction Utilizing Infrared Cameras [0.03%]
利用红外相机测量人与物体交互中接触点的方法
Jussi Hakala,Jukka Häkkinen
Jussi Hakala
This article presents a novel method for measuring contact points in human-object interaction. Research in multiple prehension-related fields, e.g., action planning, affordance, motor function, ergonomics, and robotic grasping, benefits fro...
How to be Helpful? Supportive Behaviors and Personalization for Human-Robot Collaboration [0.03%]
如何做到乐于助人？面向人机协作的支撑性行为及个性化设计研究
Olivier Mangin,Alessandro Roncone,Brian Scassellati
Olivier Mangin
The field of Human-Robot Collaboration (HRC) has seen a considerable amount of progress in recent years. Thanks in part to advances in control and perception algorithms, robots have started to work in increasingly unstructured environments,...