×
Well done. You've clicked the tower. This would actually achieve something if you had logged in first. Use the key for that. The name takes you home. This is where all the applicables sit. And you can't apply any changes to my site unless you are logged in.

Our policy is best summarized as "we don't care about _you_, we care about _them_", no emails, so no forgetting your password. You have no rights. It's like you don't even exist. If you publish material, I reserve the right to remove it, or use it myself.

Don't impersonate. Don't name someone involuntarily. You can lose everything if you cross the line, and no, I won't cancel your automatic payments first, so you'll have to do it the hard way. See how serious this sounds? That's how serious you're meant to take these.

×
Register


Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.
  • Your password can’t be too similar to your other personal information.
  • Your password must contain at least 8 characters.
  • Your password can’t be a commonly used password.
  • Your password can’t be entirely numeric.

Enter the same password as before, for verification.
Login

Grow A Dic
Define A Word
Make Space
Set Task
Mark Post
Apply Votestyle
Create Votes
(From: saved spaces)
Exclude Votes
Apply Dic
Exclude Dic

Click here to flash read.

Transporting large and heavy objects can benefit from Human-Robot
Collaboration (HRC), increasing the contribution of robots to our daily tasks
and reducing the risk of injuries to the human operator. This approach usually
posits the human collaborator as the leader, while the robot has the follower
role. Hence, it is essential for the leader to be aware of the environmental
situation. However, when transporting a large object, the operator's
situational awareness can be compromised as the object may occlude different
parts of the environment. This paper proposes a novel haptic-based
environmental awareness module for a collaborative transportation framework
that informs the human operator about surrounding obstacles. The robot uses two
LIDARs to detect the obstacles in the surroundings. The warning module alerts
the operator through a haptic belt with four vibrotactile devices that provide
feedback about the location and proximity of the obstacles. By enhancing the
operator's awareness of the surroundings, the proposed module improves the
safety of the human-robot team in co-carrying scenarios by preventing
collisions. Experiments with two non-expert subjects in two different
situations are conducted. The results show that the human partner can
successfully lead the co-transportation system in an unknown environment with
hidden obstacles thanks to the haptic feedback.

Click here to read this post out
ID: 347973; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: Aug. 25, 2023, 7:31 a.m. Changes:
Dictionaries:
Words:
Spaces:
Views: 9
CC:
No creative common's license
Comments: