Motion capture from a limited number of inertial measurement units (IMUs...
Humans perform everyday tasks using a combination of locomotion and
mani...
Existing digital human models approximate the human skeletal system usin...
Daily objects embedded in a contextual environment are often ungraspable...
As robots become more prevalent, optimizing their design for better
perf...
The task of reconstructing 3D human motion has wideranging applications....
Dance is an important human art form, but creating new dances can be
dif...
Falls are the leading cause of fatal and non-fatal injuries particularly...
To fully utilize the versatility of a multi-finger dexterous robotic han...
Real-time human motion reconstruction from a sparse set of wearable IMUs...
Reinforcement Learning is an area of Machine Learning focused on how age...
Developing robot controllers in a simulated environment is advantageous ...
Outdoor navigation on sidewalks in urban environments is the key technol...
Creating virtual humans with embodied, human-like perceptual and actuati...
We introduce BEHAVIOR, a benchmark for embodied AI with 100 activities i...
Recent research in embodied AI has been boosted by the use of simulation...
We describe a method for realistic depth synthesis that learns diverse
v...
Towards the goal of robots performing robust and intelligent physical
in...
We present a fast and feature-complete differentiable physics engine tha...
Simulation provides a safe and efficient way to generate useful data for...
Soft robot serial chain manipulators with the capability for growth,
sti...
We present a method of training character manipulation of amorphous mate...
As learning-based approaches progress towards automating robot controlle...
Being able to transfer existing skills to new situations is a key capabi...
This report presents the debates, posters, and discussions of the Sim2Re...
General contact-rich manipulation problems are long-standing challenges ...
"Looking for things" is a mundane but critical task we repeatedly carry ...
Transferring reinforcement learning policies trained in physics simulati...
We propose a novel method for exploring the dynamics of physically based...
People spend a substantial part of their lives at rest in bed. 3D human ...
Autonomous robots have the potential to serve as versatile caregivers th...
Fall prevention is one of the most important components in senior care. ...
We investigated the application of haptic aware feedback control and dee...
We explore the problem of estimating the mass distribution of an articul...
Using joint actuators to drive the skeletal movements is a common practi...
Robotic assistance presents an opportunity to benefit the lives of many
...
We present a new approach for transfer of dynamic robot control policies...
Computer simulation provides an automatic and safe way for training robo...
Accurately modeling contact behaviors for real-world, near-rigid materia...
Learning locomotion skills is a challenging problem. To generate realist...
Learning locomotion skills is a challenging problem. To generate realist...
Robot-assisted dressing offers an opportunity to benefit the lives of ma...
We present a method for efficient learning of control policies for multi...