Page Content
Motion Generation [1]
- © Robotics
How to find motion strategies that are robust in the real world? We
combine control and planning under uncertainty to generate motion for
mobile manipulators.
more to: Motion
Generation [2]
Protein Motion [3]
- © Robotics
Understanding the function of a protein requires understanding the
protein's motions behind that function. We work towards developing a
"computational microscope" that simulates these motions
computationally efficient and biologically accurate.
more to: Protein Motion
[4]
Human Grasping [5]
- © Robotics
Can we improve robotic grasping by studying how humans manipulate
and grasp objects in their environment? By varying subjects' visual
and touch capabilities, we characterize their grasp strategies and
transfer them to robots.
more to: Human Grasping
[6]
Heuristics for Ball Catching [7]
- © By clamcake,
CC-BY-2.0
Is it better to use heuristics or optimization for control problems
such as ball catching?
more to: Heuristics for Ball
Catching [8]
Representation Learning [9]
- © Robotics
Truly versatile robots cannot rely on representations that are
specifically hand-crafted for every task. Instead they must be able to
learn these representations from experience.
more to: Representation
Learning [10]
Check our Youtube Channel
[11]
------ Links: ------
[1]
https://www.robotics.tu-berlin.de/menue/research/pr
evious/motion_generation/parameter/en/font5/minhilfe/
[2]
https://www.robotics.tu-berlin.de/menue/research/pr
evious/motion_generation/parameter/en/font5/minhilfe/
[3]
https://www.robotics.tu-berlin.de/menue/research/pr
evious/protein_motion/parameter/en/font5/minhilfe/
[4]
https://www.robotics.tu-berlin.de/menue/research/pr
evious/protein_motion/parameter/en/font5/minhilfe/
[5]
https://www.robotics.tu-berlin.de/menue/research/pr
evious/human_grasping/parameter/en/font5/minhilfe/
[6]
https://www.robotics.tu-berlin.de/menue/research/pr
evious/human_grasping/parameter/en/font5/minhilfe/
[7]
https://www.robotics.tu-berlin.de/menue/research/pr
evious/heuristics_for_ball_catching/parameter/en/font5/
minhilfe/
[8]
https://www.robotics.tu-berlin.de/menue/research/pr
evious/heuristics_for_ball_catching/parameter/en/font5/
minhilfe/
[9]
https://www.robotics.tu-berlin.de/menue/research/pr
evious/representation_learning/parameter/en/font5/minhi
lfe/
[10]
https://www.robotics.tu-berlin.de/menue/research/p
revious/representation_learning/parameter/en/font5/minh
ilfe/
[11]
http://www.youtube.com/user/rboTUBerlin
