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use std::{
collections::HashMap,
path::Path,
time::{Duration, Instant},
};
use k::nalgebra as na;
use na::RealField;
use ncollide3d::{
query,
shape::{Compound, Shape, ShapeHandle},
};
use tracing::{debug, warn};
use super::urdf::urdf_geometry_to_shape_handle;
use crate::errors::*;
type NameShapeMap<T> = HashMap<String, Vec<(ShapeHandle<T>, na::Isometry3<T>)>>;
pub struct EnvCollisionNames<'a, 'b, T>
where
T: RealField,
{
checker: &'a CollisionChecker<T>,
target_shape: &'b dyn Shape<T>,
target_pose: &'b na::Isometry3<T>,
joints: Vec<&'b k::Node<T>>,
index: usize,
}
impl<'a, 'b, T> EnvCollisionNames<'a, 'b, T>
where
T: RealField + k::SubsetOf<f64>,
{
pub fn new(
checker: &'a CollisionChecker<T>,
robot: &'b k::Chain<T>,
target_shape: &'b dyn Shape<T>,
target_pose: &'b na::Isometry3<T>,
) -> Self {
robot.update_transforms();
let joints = robot.iter().collect();
Self {
checker,
target_shape,
target_pose,
joints,
index: 0,
}
}
}
impl<'a, 'b, T> Iterator for EnvCollisionNames<'a, 'b, T>
where
T: RealField + k::SubsetOf<f64>,
{
type Item = String;
fn next(&mut self) -> Option<String> {
if self.joints.len() <= self.index {
return None;
}
let joint = self.joints[self.index];
self.index += 1;
let trans = joint.world_transform().unwrap();
let joint_name = &joint.joint().name;
match self.checker.name_collision_model_map.get(joint_name) {
Some(obj_vec) => {
for obj in obj_vec {
let dist = query::distance(
&(trans * obj.1),
&*obj.0,
self.target_pose,
self.target_shape,
);
if dist < self.checker.prediction {
debug!("name: {}, dist={}", joint_name, dist);
return Some(joint_name.to_owned());
}
}
}
None => {
debug!("collision model {} not found", joint_name);
}
}
self.next()
}
}
pub struct SelfCollisionPairs<'a, T>
where
T: RealField,
{
checker: &'a CollisionChecker<T>,
collision_check_robot: &'a k::Chain<T>,
self_collision_pairs: &'a [(String, String)],
index: usize,
used_duration: HashMap<String, Duration>,
}
impl<'a, T> SelfCollisionPairs<'a, T>
where
T: RealField + k::SubsetOf<f64>,
{
pub fn new(
checker: &'a CollisionChecker<T>,
collision_check_robot: &'a k::Chain<T>,
self_collision_pairs: &'a [(String, String)],
) -> Self {
collision_check_robot.update_transforms();
Self {
checker,
collision_check_robot,
self_collision_pairs,
index: 0,
used_duration: HashMap::new(),
}
}
pub fn used_duration(&self) -> &HashMap<String, Duration> {
&self.used_duration
}
}
impl<'a, T> Iterator for SelfCollisionPairs<'a, T>
where
T: RealField + k::SubsetOf<f64>,
{
type Item = (String, String);
fn next(&mut self) -> Option<(String, String)> {
if self.self_collision_pairs.len() <= self.index {
return None;
}
let (j1, j2) = &self.self_collision_pairs[self.index];
self.index += 1;
let obj_vec1_opt = self.checker.name_collision_model_map.get(j1);
let obj_vec2_opt = self.checker.name_collision_model_map.get(j2);
if obj_vec1_opt.is_none() {
warn!("Collision model {} not found", j1);
return self.next();
}
if obj_vec2_opt.is_none() {
warn!("Collision model {} not found", j2);
return self.next();
}
let node1_opt = self.collision_check_robot.find(j1);
let node2_opt = self.collision_check_robot.find(j2);
if node1_opt.is_none() {
warn!("self_colliding: joint {} not found", j1);
return self.next();
}
if node2_opt.is_none() {
warn!("self_colliding: joint {} not found", j2);
return self.next();
}
let obj_vec1 = obj_vec1_opt.unwrap();
let obj_vec2 = obj_vec2_opt.unwrap();
let node1 = node1_opt.unwrap();
let node2 = node2_opt.unwrap();
let mut last_time = Instant::now();
for obj1 in obj_vec1 {
for obj2 in obj_vec2 {
let trans1 = node1.world_transform().unwrap();
let trans2 = node2.world_transform().unwrap();
let dist =
query::distance(&(trans1 * obj1.1), &*obj1.0, &(trans2 * obj2.1), &*obj2.0);
debug!("name: {}, name: {} dist={}", j1, j2, dist);
if dist < self.checker.prediction {
return Some((j1.to_owned(), j2.to_owned()));
}
let elapsed = last_time.elapsed();
*self
.used_duration
.entry(j1.to_owned())
.or_insert_with(|| Duration::from_nanos(0)) += elapsed;
*self
.used_duration
.entry(j2.to_owned())
.or_insert_with(|| Duration::from_nanos(0)) += elapsed;
last_time = Instant::now();
}
}
self.next()
}
}
#[derive(Clone)]
pub struct CollisionChecker<T>
where
T: RealField,
{
name_collision_model_map: NameShapeMap<T>,
pub prediction: T,
pub self_collision_pairs: Vec<(String, String)>,
}
impl<T> CollisionChecker<T>
where
T: RealField + k::SubsetOf<f64>,
{
pub fn new(name_collision_model_map: NameShapeMap<T>, prediction: T) -> Self {
CollisionChecker {
name_collision_model_map,
prediction,
self_collision_pairs: Vec::new(),
}
}
pub fn from_urdf_robot(urdf_robot: &urdf_rs::Robot, prediction: T) -> Self {
Self::from_urdf_robot_with_base_dir(urdf_robot, None, prediction)
}
pub fn from_urdf_robot_with_base_dir(
urdf_robot: &urdf_rs::Robot,
base_dir: Option<&Path>,
prediction: T,
) -> Self {
let mut name_collision_model_map = HashMap::new();
let link_joint_map = k::urdf::link_to_joint_map(&urdf_robot);
for l in &urdf_robot.links {
let col_pose_vec = l
.collision
.iter()
.filter_map(|collision| {
urdf_geometry_to_shape_handle(&collision.geometry, base_dir)
.map(|col| (col, k::urdf::isometry_from(&collision.origin)))
})
.collect::<Vec<_>>();
debug!("name={}, ln={}", l.name, col_pose_vec.len());
if !col_pose_vec.is_empty() {
if let Some(joint_name) = link_joint_map.get(&l.name) {
name_collision_model_map.insert(joint_name.to_owned(), col_pose_vec);
}
}
}
CollisionChecker {
name_collision_model_map,
prediction,
self_collision_pairs: Vec::new(),
}
}
pub fn check_env<'a>(
&'a self,
robot: &'a k::Chain<T>,
target_shape: &'a dyn Shape<T>,
target_pose: &'a na::Isometry3<T>,
) -> EnvCollisionNames<'a, 'a, T> {
robot.update_transforms();
EnvCollisionNames::new(self, robot, target_shape, target_pose)
}
pub fn check_self<'a>(
&'a self,
collision_check_robot: &'a k::Chain<T>,
self_collision_pairs: &'a [(String, String)],
) -> SelfCollisionPairs<'a, T> {
collision_check_robot.update_transforms();
SelfCollisionPairs::new(self, collision_check_robot, self_collision_pairs)
}
}
pub trait FromUrdf {
fn from_urdf_robot(robot: &urdf_rs::Robot) -> Self;
fn from_urdf_file<P>(path: P) -> ::std::result::Result<Self, urdf_rs::UrdfError>
where
Self: ::std::marker::Sized,
P: AsRef<Path>,
{
Ok(Self::from_urdf_robot(&urdf_rs::read_file(path)?))
}
}
pub fn parse_colon_separated_pairs(pair_strs: &[String]) -> Result<Vec<(String, String)>> {
let mut pairs = Vec::new();
for pair_str in pair_strs {
let mut sp = pair_str.split(':');
if let Some(p1) = sp.next() {
if let Some(p2) = sp.next() {
pairs.push((p1.to_owned(), p2.to_owned()));
} else {
return Err(Error::ParseError(pair_str.to_owned()));
}
} else {
return Err(Error::ParseError(pair_str.to_owned()));
}
}
Ok(pairs)
}
#[cfg(test)]
mod test {
use super::parse_colon_separated_pairs;
#[test]
fn test_parse_colon_separated_pairs() {
let pairs = parse_colon_separated_pairs(&["j0:j1".to_owned(), "j2:j0".to_owned()]).unwrap();
assert_eq!(pairs.len(), 2);
assert_eq!(pairs[0].0, "j0");
assert_eq!(pairs[0].1, "j1");
assert_eq!(pairs[1].0, "j2");
assert_eq!(pairs[1].1, "j0");
}
}
impl FromUrdf for Compound<f64> {
fn from_urdf_robot(urdf_obstacle: &urdf_rs::Robot) -> Self {
let compound_data = urdf_obstacle
.links
.iter()
.flat_map(|l| {
l.collision
.iter()
.map(|collision| {
urdf_geometry_to_shape_handle(&collision.geometry, None)
.map(|col| (k::urdf::isometry_from(&collision.origin), col))
})
.collect::<Vec<_>>()
})
.flatten()
.collect::<Vec<_>>();
Compound::new(compound_data)
}
}