NDLI: Physically based grasping control from example

Please wait, while we are loading the content...

Imitation as a first step to social learning in synthetic characters: a graph-based approach

Motion modeling for on-line locomotion synthesis

Particle-based simulation of granular materials

Spatial keyframing for performance-driven animation

Transferable videorealistic speech animation

AER: aesthetic exploration and refinement for expressive character animation

Robust quasistatic finite elements and flesh simulation

Animosaics

Particle-based viscoelastic fluid simulation

Adapted unstructured LBM for flow simulation on curved surfaces

Behavior planning for character animation

Physically based rigging for deformable characters

Autonomous pedestrians

Capture and synthesis of insect motion

Simulation of smoke based on vortex filament primitives

An art-directed wrinkle system for CG character clothing

Simulating complex hair with robust collision handling

Analyzing the physical correctness of interpolated human motion

Progressive multiresolution meshes for deforming surfaces

Simple and efficient compression of animation sequences

Taming liquids for rapidly changing targets

Fluids in deforming meshes

Group motion graphs

Physically based grasping control from example

Video-based character animation

Modeling and animating gases with simulation features

Directable animation of elastic objects

Particle-based fluid-fluid interaction

Vortex fluid for gaseous phenomena

Fast and accurate goal-directed motion synthesis for crowds

Helping hand: an anatomically accurate inverse dynamics solution for unconstrained hand motion

Pushing people around

Morphable model of quadrupeds skeletons for animating 3D animals

Outside-in anatomy based character rigging

An efficient search algorithm for motion data using weighted PCA

Physically based grasping control from example

Content Provider	ACM Digital Library
Author	Pollard, Nancy S. Zordan, Victor Brian
Abstract	Animated human characters in everyday scenarios must interact with the environment using their hands. Captured human motion can provide a database of realistic examples. However, examples involving contact are difficult to edit and retarget; realism can suffer when a grasp does not appear secure or when an apparent impact does not disturb the hand or the object. Physically based simulations can preserve plausibility through simulating interaction forces. However, such physical models must be driven by a controller, and creating effective controllers for new motion tasks remains a challenge. In this paper, we present a controller for physically based grasping that draws from motion capture data. Our controller explicitly includes passive and active components to uphold compliant yet controllable motion, and it adds compensation for movement of the arm and for gravity to make the behavior of passive and active components less dependent on the dynamics of arm motion. Given a set of motion capture grasp examples, our system solves for all but a small set of parameters for this controller automatically. We demonstrate results for tasks including grasping and two-hand interaction and show that a controller derived from a single motion capture example can be used to form grasps of different object geometries.
Starting Page	311
Ending Page	318
Page Count	8
File Format	PDF
ISBN	1595931988
DOI	10.1145/1073368.1073413
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2005-07-29
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Physically Based Grasping Control from Example (2005)

Physically based grasping and manipulation method using pre-contact grasping quality measure

Example-based elastic materials

Physically based grasping control from example (2005)

Interactive control for physically-based animation

A soft hand model for physically-based manipulation of virtual objects

Real-time soft-finger grasping of physically based quasi-rigid objects

Physically-based grasp quality evaluation under uncertainty

Example-based data optimization for facial simulation

Physically based grasping control from example

Similar Documents

Physically Based Grasping Control from Example (2005)

Physically based grasping and manipulation method using pre-contact grasping quality measure

Example-based elastic materials

Physically based grasping control from example (2005)

Interactive control for physically-based animation

A soft hand model for physically-based manipulation of virtual objects

Real-time soft-finger grasping of physically based quasi-rigid objects

Physically-based grasp quality evaluation under uncertainty

Example-based data optimization for facial simulation

Physically based grasping control from example